Paper Title,Year,Conference,Presentation Type,Number of Figures,Number of Equations,Number of Tables,Appendix,Slide Animations,Character_Count,Number_of_Slides,Topics,Paper PDF URL,Slides URL
3DLinker - An E(3) Equivariant Variational Autoencoder,2022,ICML,Oral,4,,3,Yes,,45879,19,Molecular Linker Design;E(3) Equivariant Graph Variational Autoencoder;Conditional Generative Models;3D Molecular Structure Prediction,https://arxiv.org/pdf/2205.07309,https://icml.cc/media/icml-2022/Slides/18143.pdf
"Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness",2022,ICML,Oral,4,,3,Yes,,44347,47,Counterfactual Inference;Data Integration;Fair Representation Learning;Batch Effect Correction,https://arxiv.org/pdf/2106.08161,https://icml.cc/media/icml-2022/Slides/17234.pdf
Correct-N-Contrast - A Contrastive Approach for Improving Robustness to Spurious Correlations,2022,ICML,Oral,7,,4,Yes,,44964,78,Robust Machine Learning;Spurious Correlations;Contrastive Learning;Representation Alignment,https://arxiv.org/pdf/2203.01517,https://icml.cc/media/icml-2022/Slides/18224_Wlco9OF.pdf
Learning inverse folding from millions of predicted structures,2022,ICML,Oral,7,,3,Yes,,42125,18,Inverse Folding Prediction;Protein Structure Prediction;Generative Models for Protein Design;Sequence-to-Sequence Learning in Protein Engineering,https://proceedings.mlr.press/v162/hsu22a/hsu22a.pdf,https://icml.cc/media/icml-2022/Slides/16886.pdf
Monarch - Expressive Structured Matrices for Efficient and Accurate Training,2022,ICML,Oral,5,,8,Yes,,43885,44,Structured Matrices;Sparse Training;Efficient Neural Network Training;Matrix Approximation Techniques,https://arxiv.org/pdf/2204.00595,https://icml.cc/media/icml-2022/Slides/17900_R7TNeV4.pdf
POEM - Out-of-Distribution Detection with Posterior Sampling,2022,ICML,Oral,3,,3,Yes,,54444,34,Out-of-Distribution Detection;Posterior Sampling;Outlier Detection;Neural Network Regularization,https://arxiv.org/pdf/2206.13687,https://icml.cc/media/icml-2022/Slides/16652.pdf
Path-Gradient Estimators for Continuous Normalizing Flows,2022,ICML,Oral,5,,3,Yes,,39565,29,Path-Gradient Estimators;Continuous Normalizing Flows;Variational Inference;High-Dimensional Systems,https://arxiv.org/pdf/2206.09016,https://icml.cc/media/icml-2022/Slides/17304_0S8DqlX.pdf
Privacy for Free - How does Dataset Condensation Help Privacy,2022,ICML,Oral,8,,3,Yes,,53800,24,Dataset Condensation;Differential Privacy;Membership Inference Attacks;Data Privacy in Machine Learning,https://arxiv.org/pdf/2206.00240,https://icml.cc/media/icml-2022/Slides/18236.pdf
Rethinking Image-Scaling Attacks,2022,ICML,Oral,9,,4,Yes,,47649,44,Image Scaling Algorithms;Adversarial Attacks;Machine Learning Vulnerabilities;Decision-Based Black-Box Attacks,https://arxiv.org/pdf/2104.08690,https://icml.cc/media/icml-2022/Slides/16968_QVuMEKF.pdf
RieszNet and ForestRiesz - Automatic Debiased,2022,ICML,Oral,3,,4,Yes,,46414,33,Automatic Debiasing;Riesz Representation;Neural Networks;Random Forests,https://arxiv.org/pdf/2110.03031,https://icml.cc/media/icml-2022/Slides/16312_f0zLRYT.pdf
To Smooth or Not When Label Smoothing Meets Noisy Labels,2022,ICML,Oral,5,,6,Yes,,46876,27,Label Smoothing;Noisy Label Learning;Regularization Techniques;Negative Label Smoothing,https://arxiv.org/pdf/2106.04149,https://icml.cc/media/icml-2022/Slides/17074.pdf
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning,2022,ICML,Oral,8,,4,No,,51214,20,Topology-Aware Network Pruning;Graph Neural Networks;Reinforcement Learning;Model Compression,https://arxiv.org/pdf/2102.03214,https://icml.cc/media/icml-2022/Slides/16772.pdf
Understanding Dataset Difficulty with V-Usable Information,2022,ICML,Oral,9,,4,Yes,,58804,32,Dataset Difficulty Estimation;V-Usable Information;Pointwise V-Information;NLP Benchmark Analysis,https://arxiv.org/pdf/2110.08420,https://icml.cc/media/icml-2022/Slides/16634.pdf
Unified Scaling Laws for Routed Language Models,2022,ICML,Oral,13,,6,Yes,,45020,84,Scaling Laws in Language Models;Routing Networks;Neural Network Architecture Evaluation;Effective Parameter Count,https://arxiv.org/pdf/2202.01169,https://icml.cc/media/icml-2022/Slides/17820.pdf
"data2vec - A General Framework for Self-supervised Learning in Speech, Vision and Language",2022,ICML,Oral,3,,6,Yes,,47928,14,Self-supervised Learning;Multimodal Learning;Contextualized Representations;Speech Recognition,https://arxiv.org/pdf/2202.03555,https://icml.cc/media/icml-2022/Slides/16644.pdf
Adversarial Example Does Good - Preventing Painting Imitation from,2023,ICML,Oral,5,,4,Yes,,43771,12,Adversarial Training;Diffusion Models;Copyright Protection in AI Art;Image Synthesis,https://arxiv.org/pdf/2302.04578,https://icml.cc/media/icml-2023/Slides/25469.pdf
Audio Pre-Training with Acoustic Tokenizers,2023,ICML,Oral,4,,3,Yes,,49406,28,Self-Supervised Learning for Audio;Acoustic Tokenization;Audio Representation Learning;Audio Classification Benchmarking,https://arxiv.org/pdf/2212.09058,https://icml.cc/media/icml-2023/Slides/25555.pdf
Bidirectional Adaptation for Robust Semi-Supervised Learning,2023,ICML,Oral,3,,3,Yes,,52501,8,Robust Semi-Supervised Learning;Distribution Adaptation;Debiased Pseudo-Labeling;Theoretical Framework for SSL,https://proceedings.mlr.press/v202/jia23a/jia23a.pdf,https://icml.cc/media/icml-2023/Slides/25533.pdf
Evaluating Self-Supervised Learning via Risk Decomposition,2023,ICML,Oral,13,,4,Yes,,58816,28,Self-Supervised Learning;Risk Decomposition;Error Analysis in Representation Learning;Evaluation Metrics for SSL Models,https://arxiv.org/pdf/2302.03068,https://icml.cc/media/icml-2023/Slides/25480_fMGoWdI.pdf
Fast Inference from Transformers via Speculative Decoding,2023,ICML,Oral,5,,3,Yes,,34452,14,Speculative Decoding;Parallel Inference;Autoregressive Models,https://arxiv.org/pdf/2211.17192,https://icml.cc/media/icml-2023/Slides/25546_yAOj5U8.pdf
Instant Soup - Cheap Pruning Ensembles in A Single Pass Can,2023,ICML,Oral,3,,7,Yes,,46357,8,Pruning Ensembles;Lottery Ticket Hypothesis;Model Fine-Tuning;Large Pre-trained Transformers,https://arxiv.org/pdf/2306.10460,https://icml.cc/media/icml-2023/Slides/25544.pdf
ODS - Test-Time Adaptation in the Presence of Open-World Data Shift,2023,ICML,Oral,7,,7,Yes,,43543,21,Test-Time Adaptation;Open-World Data Shift;Covariate and Label Distribution Shift,https://proceedings.mlr.press/v202/zhou23e/zhou23e.pdf,https://icml.cc/media/icml-2023/Slides/25549.pdf
Pre-training for Speech Translation - CTC Meets Optimal Transport,2023,ICML,Oral,5,,10,Yes,,48994,21,Speech-to-Text Translation;Connectionist Temporal Classification;Optimal Transport;Siamese Neural Networks,https://arxiv.org/pdf/2301.11716,https://icml.cc/media/icml-2023/Slides/25497.pdf
Refining Generative Process with Discriminator Guidance,2023,ICML,Oral,15,,8,Yes,,45867,19,Score-based Diffusion Models;Discriminator-guided Learning;Generative Adversarial Networks (GANs) Alternative Approaches;Image Generation Techniques,https://arxiv.org/pdf/2211.17091,https://icml.cc/media/icml-2023/Slides/25468.pdf
Subequivariant Graph Reinforcement Learning in 3D Environments,2023,ICML,Oral,8,,5,Yes,,47869,21,Morphology-Agnostic Reinforcement Learning;Subequivariant Graph Neural Networks;3D Environment Exploration;Policy Optimization via Geometric Symmetry,https://arxiv.org/pdf/2305.18951,https://icml.cc/media/icml-2023/Slides/25559.pdf
Which Features are Learnt by Contrastive Learning,2023,ICML,Oral,6,,5,Yes,,54697,62,Contrastive Learning;Representation Learning;Feature Suppression;Class Collapse,https://arxiv.org/pdf/2305.16536,https://icml.cc/media/icml-2023/Slides/25437_64AmEtv.pdf
Causal normalizing flows - from theory to practice,2023,NeurIPS,Oral,5,,3,Yes,,52327,67,Causal Inference;Normalizing Flows;Autoregressive Models;Counterfactual Reasoning,https://arxiv.org/pdf/2306.05415,https://neurips.cc/media/neurips-2023/Slides/73851.pdf
Conformal Meta-learners for Predictive Inference of,2023,NeurIPS,Oral,5,,3,Yes,,53153,25,Individual Treatment Effects;Conformal Prediction;Meta-Learning;Causal Inference,https://arxiv.org/pdf/2308.14895,https://neurips.cc/media/neurips-2023/Slides/72090.pdf
Learning Linear Causal Representations from Interventions,2023,NeurIPS,Oral,3,,3,Yes,,62186,31,Causal Inference;Identification of Latent Variables;Contrastive Learning;High-Dimensional Geometry in Causal Learning,https://arxiv.org/pdf/2306.02235,https://neurips.cc/media/neurips-2023/Slides/73823.pdf
QL ORA - Efficient Finetuning of Quantized LLMs,2023,NeurIPS,Oral,3,,8,Yes,,75353,20,Efficient Finetuning of Quantized Language Models;Low Rank Adaptation (LoRA);Memory Optimization Techniques;Chatbot Performance Evaluation,https://arxiv.org/pdf/2305.14314,https://neurips.cc/media/neurips-2023/Slides/73855.pdf
Learning to Segment Referred Objects from Narrated Egocentric Videos,2024,CVPR,Oral,4,,3,No,,55536,17,Weakly-Supervised Video Object Segmentation;Vision-Language Models;Contrastive Learning;Egocentric Video Analysis,https://openaccess.thecvf.com/content/CVPR2024/papers/Shen_Learning_to_Segment_Referred_Objects_from_Narrated_Egocentric_Videos_CVPR_2024_paper.pdf,https://cvpr.thecvf.com/media/cvpr-2024/Slides/29467.pdf
CAMERAS AS RAYS - POSE ESTIMATION VIA RAY DIFFUSION,2024,ICLR,Oral,7,,3,Yes,,40716,21,Pose Estimation;Ray Diffusion;3D Reconstruction;Denoising Diffusion Models,https://arxiv.org/pdf/2402.14817,https://iclr.cc/media/iclr-2024/Slides/19778.pdf
CLIM ODE - C LIMATE AND WEATHER FORECASTING,2024,ICLR,Oral,8,,3,Yes,,35588,35,Physics-Informed Neural Networks;Weather Forecasting;Uncertainty Quantification;Spatiotemporal Modeling,https://arxiv.org/pdf/2404.10024,https://iclr.cc/media/iclr-2024/Slides/19715.pdf
LESS IS MORE - F EWER INTERPRETABLE REGION VIA,2024,ICLR,Oral,3,,4,Yes,,47332,18,Image Attribution;Submodular Optimization;Model Interpretability,https://arxiv.org/pdf/2402.09164,https://iclr.cc/media/iclr-2024/Slides/19733.pdf
METAGPT - M ETA PROGRAMMING FOR A MULTI-AGENT COLLABORATIVE FRAMEWORK,2024,ICLR,Oral,5,,6,Yes,,46728,17,Meta-Programming;Multi-Agent Systems;Large Language Models;Automated Problem Solving,https://arxiv.org/pdf/2308.00352,https://iclr.cc/media/iclr-2024/Slides/18491.pdf
"A Touch, Vision, and Language Dataset for Multimodal Alignment",2024,ICML,Oral,6,,4,Yes,,42012,48,Multimodal Representation Learning;Tactile Data Annotation;Vision-Touch Language Alignment;Generative Language Models,https://arxiv.org/pdf/2402.13232,https://icml.cc/media/icml-2024/Slides/35452.pdf
APT - Adaptive Pruning and Tuning Pretrained Language Models for,2024,ICML,Oral,3,,7,Yes,,48883,20,Adaptive Pruning;Efficient Fine-Tuning;Parameter-Efficient Models;Language Model Optimization,https://arxiv.org/pdf/2401.12200,https://icml.cc/media/icml-2024/Slides/35453.pdf
Arrows_of_Time_for_Large_Language_Models,2024,ICML,Oral,4,,5,Yes,,52767,85,Autoregressive Language Modeling;Time Asymmetry in Probabilistic Models;Information Theory in AI Systems;Sparse Representation in Neural Networks,https://arxiv.org/pdf/2401.17505,https://icml.cc/media/icml-2024/Slides/35521.pdf
Bottleneck-Minimal Indexing for Generative Document Retrieval,2024,ICML,Oral,6,,4,Yes,,45364,24,Generative Document Retrieval;Information-Theoretic Approaches;Rate-Distortion Theory;Neural Autoregressive Models,https://arxiv.org/pdf/2405.10974,https://icml.cc/media/icml-2024/Slides/35532.pdf
Candidate Pseudolabel Learning - Enhancing Vision-Language Models by,2024,ICML,Oral,7,,6,Yes,,48882,15,Candidate Pseudolabel Learning;Vision-Language Models;Unlabeled Data Fine-tuning;Prompt Tuning,https://arxiv.org/pdf/2406.10502,https://icml.cc/media/icml-2024/Slides/35456.pdf
Challenges in Training PINNs - A Loss Landscape Perspective,2024,ICML,Oral,8,,3,Yes,,53420,30,Physics-Informed Neural Networks;Loss Landscape Optimization;Gradient-Based Optimization Methods;Partial Differential Equations,https://arxiv.org/pdf/2402.01868,https://icml.cc/media/icml-2024/Slides/33180_kLYAzFO.pdf
Data-free Neural Representation Compression,2024,ICML,Oral,3,,5,Yes,,47302,18,Riemannian Geometry in Neural Networks;Data-free Neural Network Compression;Dynamic Systems and Neural Representation;Neuronal Interaction Modeling,https://raw.githubusercontent.com/mlresearch/v235/main/assets/pei24d/pei24d.pdf,https://icml.cc/media/icml-2024/Slides/35536_gVhPtee.pdf
ExCP - Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking,2024,ICML,Oral,5,,7,Yes,,42889,14,Checkpoint Compression;Weight-Momentum Optimization;Non-Uniform Quantization;Sparse Information Extraction,https://arxiv.org/pdf/2406.11257,https://icml.cc/media/icml-2024/Slides/35484_oOBhtPf.pdf
Expressivity and Generalization - Fragment-Biases for Molecular GNNs,2024,ICML,Oral,6,,7,Yes,,50175,23,Fragment-Biased Graph Neural Networks;Theoretic Expressivity Analysis;Molecular Property Prediction;Generalization in Machine Learning,https://arxiv.org/pdf/2406.08210,https://icml.cc/media/icml-2024/Slides/35459.pdf
Listenable Maps for Zero-Shot Audio Classifiers,2024,ICML,Oral,5,,3,Yes,,45423,42,Explainable AI;Zero-Shot Learning;Audio Classification;Post-Hoc Explanation Methods,https://arxiv.org/pdf/2405.17615,https://icml.cc/media/icml-2024/Slides/33268.pdf
MLLM-as-a-Judge - Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark,2024,ICML,Oral,9,,8,Yes,,61182,33,Multimodal Large Language Models;Benchmark Development;Judgment Biases in AI;Evaluation Metrics for AI Systems,https://arxiv.org/pdf/2402.04788,https://icml.cc/media/icml-2024/Slides/35497.pdf
MorphGrower - A Synchronized Layer-by-layer Growing Approach for,2024,ICML,Oral,5,,3,Yes,,49482,19,Neuronal Morphology Generation;Synchronized Layer-by-layer Growth;Topological Validity in Morphologies;Electrophysiological Response Simulation,https://arxiv.org/pdf/2401.09500,https://icml.cc/media/icml-2024/Slides/35513.pdf
Position - Rethinking Post-Hoc Search-Based Neural Approaches for Solving,2024,ICML,Oral,4,,3,Yes,,45092,25,Heatmap Generation for Optimization;Monte Carlo Tree Search;Traveling Salesman Problem;Combinatorial Optimization Methods,https://arxiv.org/pdf/2406.03503,https://icml.cc/media/icml-2024/Slides/35505.pdf
SparseTSF - Modeling Long-term Time Series Forecasting with 1k Parameters,2024,ICML,Oral,4,,7,Yes,,49044,18,Long-term Time Series Forecasting;Cross-Period Sparse Forecasting;Parameter Efficiency in Machine Learning Models;Generalization in Low-Resource Scenarios,https://arxiv.org/pdf/2405.00946,https://icml.cc/media/icml-2024/Slides/35571.pdf
Towards_Optimal_Adversarial_Robust_Q-learning_with_Bellman_Infinity-error,2024,ICML,Oral,5,,3,Yes,,54693,30,Adversarial Robustness in Reinforcement Learning;Optimal Robust Policy in Markov Decision Processes;Bellman Error Minimization Techniques;Deep Q-Networks Training Methods,https://arxiv.org/pdf/2402.02165,https://icml.cc/media/icml-2024/Slides/33033_8TELIdY.pdf
Unified_Training_of_Universal_Time_Series_Forecasting_Transformers,2024,ICML,Oral,6,,7,Yes,,57564,39,Universal Time Series Forecasting;Transformer Architectures;Cross-Frequency Learning;Multivariate Time Series Analysis,https://arxiv.org/pdf/2402.02592,https://icml.cc/media/icml-2024/Slides/35515.pdf
Video-of-Thought - Step-by-Step Video Reasoning from Perception to Cognition,2024,ICML,Oral,8,,4,Yes,,59901,27,Video Understanding;Spatial-Temporal Reasoning;Multimodal Large Language Models;Cognitive Video Comprehension,https://arxiv.org/pdf/2501.03230,https://icml.cc/media/icml-2024/Slides/33467.pdf
AgentBoard - An Analytical Evaluation Board of,2024,NeurIPS,Oral,6,,7,Yes,,59530,62,Evaluation Frameworks for Large Language Models;Multi-Turn Interaction in AI Agents;Benchmarking of Agent Performance;Interpretable AI,https://arxiv.org/pdf/2401.13178,https://neurips.cc/media/neurips-2024/Slides/97853.pdf
DapperFL - Domain Adaptive Federated Learning with,2024,NeurIPS,Oral,4,,3,Yes,,52291,29,Federated Learning;Domain Adaptation;Model Pruning;Edge Computing,https://arxiv.org/pdf/2412.05823,https://neurips.cc/media/neurips-2024/Slides/95295.pdf
"Decompose, Analyze and Rethink",2024,NeurIPS,Oral,5,,4,Yes,,53419,12,Natural Language Processing;Reasoning in AI;Tree-based Question Decomposition;Large Language Models,https://proceedings.neurips.cc/paper_files/paper/2024/file/01025a4e79355bb37a10ba39605944b5-Paper-Conference.pdf,https://neurips.cc/media/neurips-2024/Slides/97984.pdf
You Only Cache Once - Decoder-Decoder Architectures for Language Models,2024,NeurIPS,Oral,10,,5,Yes,,44856,12,Decoder-Decoder Architectures;Key-Value Caching Optimization;Transformer Model Efficiency;Global Attention Mechanisms,https://arxiv.org/pdf/2405.05254,https://neurips.cc/media/neurips-2024/Slides/98001.pdf
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning,2025,CVPR,Oral,8,,7,No,,51814,10,Federated Learning;Data Heterogeneity;Geometric Distribution Alignment;Sample Generation Techniques,https://arxiv.org/pdf/2503.06457,https://cvpr.thecvf.com/media/cvpr-2025/Slides/32823.pdf
Deterministic Object Pose Confidence Region Estimation,2025,ICCV,Oral,6,,6,No,,44266,27,6D Pose Estimation;Uncertainty Quantification;Deterministic Estimation Methods;Conformal Prediction,https://arxiv.org/pdf/2506.22720,https://iccv.thecvf.com/media/iccv-2025/Slides/2258_KrNKhsn.pdf
Diffusion Image Prior,2025,ICCV,Oral,7,,6,No,,35462,22,Diffusion Models;Image Restoration;Blind Image Restoration;Artifact Removal,https://arxiv.org/pdf/2503.21410,https://iccv.thecvf.com/media/iccv-2025/Slides/2934.pdf
Diving into the Fusion of Monocular Priors for Generalized Stereo Matching,2025,ICCV,Oral,4,,7,No,,48476,35,Stereo Matching;Monocular Depth Estimation;Depth Map Fusion;Ill-posed Problem Handling,https://arxiv.org/pdf/2505.14414,https://iccv.thecvf.com/media/iccv-2025/Slides/2920_HA4wPU8.pdf
Learning Streaming Video Representation via Multitask Training,2025,ICCV,Oral,3,,6,No,,62845,19,Streaming Video Representation;Multitask Learning;Online Action Detection;Video Question Answering,https://arxiv.org/pdf/2504.20041,https://iccv.thecvf.com/media/iccv-2025/Slides/2901.pdf
ACCELERATED TRAINING THROUGH ITERATIVE,2025,ICLR,Oral,6,,4,Yes,,44150,14,Highway Backpropagation;Residual Networks;Gradient Propagation Algorithms;Deep Learning Optimization,https://arxiv.org/pdf/2501.17086,https://iclr.cc/media/iclr-2025/Slides/31872.pdf
BOOSTER - T ACKLING HARMFUL FINE -TUNING FOR,2025,ICLR,Oral,3,,9,Yes,,61851,16,Harmful Fine-Tuning Attacks;Large Language Model Alignment;Loss Regularization Techniques,https://arxiv.org/pdf/2409.01586,https://iclr.cc/media/iclr-2025/Slides/28050.pdf
CHART MOE - M IXTURE OF DIVERSELY ALIGNED EX,2025,ICLR,Oral,11,,8,Yes,,58200,13,Chart Understanding;Mixture of Experts (MoE);Multimodal Large Language Models (MLLMs);Dataset Creation for Chart Analysis,https://arxiv.org/pdf/2409.03277,https://iclr.cc/media/iclr-2025/Slides/31773.pdf
CYBER HOST - A O NE-STAGE DIFFUSION FRAMEWORK,2025,ICLR,Oral,6,,3,Yes,,49641,21,Audio-Driven Talking Body Generation;Diffusion-Based Video Generation;Human Animation Synthesis;Region Attention Module in Animation,https://arxiv.org/pdf/2409.01876,https://iclr.cc/media/iclr-2025/Slides/32123.pdf
DEPT - D ECOUPLED EMBEDDINGS FOR PRE,2025,ICLR,Oral,5,,13,Yes,,67319,23,Decoupled Embeddings;Federated Learning;Language Model Pre-training;Communication-Efficient Training,https://arxiv.org/pdf/2410.05021,https://iclr.cc/media/iclr-2025/Slides/27901_qTj5Ifm.pdf
FLAT REWARD IN POLICY PARAMETER SPACE IMPLIES,2025,ICLR,Oral,7,,3,Yes,,48254,30,Flat Reward Landscapes;Robustness in Reinforcement Learning;Policy Parameter Space Analysis;Generalization in Deep Neural Networks,https://proceedings.iclr.cc/paper_files/paper/2025/file/3448058d44f133839042295f79a9a958-Paper-Conference.pdf,https://iclr.cc/media/iclr-2025/Slides/31923.pdf
GESUBNET - G ENE INTERACTION INFERENCE FOR,2025,ICLR,Oral,6,,4,Yes,,54038,21,Gene Interaction Inference;Disease Subtype Network Generation;Graph Neural Networks;Representation Learning,https://arxiv.org/pdf/2410.13178,https://iclr.cc/media/iclr-2025/Slides/28630_yPoleh1.pdf
GRID MIX - E XPLORING SPATIAL MODULATION FOR,2025,ICLR,Oral,4,,6,Yes,,50700,20,Spatial Modulation;Neural Fields;Partial Differential Equations (PDE) Modeling;Domain Augmentation,https://openreview.net/pdf?id=Fur0DtynPX,https://iclr.cc/media/iclr-2025/Slides/31883.pdf
IMPROVING PROBABILISTIC DIFFUSION MODELS WITH,2025,ICLR,Oral,4,,8,Yes,,51204,43,Probabilistic Diffusion Models;Optimal Covariance Matching;Denoising Distribution;Sampling Efficiency,https://arxiv.org/pdf/2406.10808,https://iclr.cc/media/iclr-2025/Slides/28877.pdf
IMPROVING PROBABILISTIC DIFFUSION MODELS WITH (2),2025,ICLR,Oral,4,,8,Yes,,51204,17,Probabilistic Diffusion Models;Diagonal Covariance Matching;Optimal Covariance Matching;Sampling Efficiency,https://arxiv.org/pdf/2410.13708,https://iclr.cc/media/iclr-2025/Slides/28788.pdf
Inference_Scaling_for_Long-Context_Retrieval_Augmented_Generation,2025,ICLR,Oral,8,,4,Yes,,46464,38,Long-Context Large Language Models;Retrieval Augmented Generation;Inference Scaling Laws;Optimal Computation Allocation,https://arxiv.org/pdf/2410.04343,https://iclr.cc/media/iclr-2025/Slides/30339.pdf
KNOWING YOUR TARGET - TARGET -AWARE TRANSFORMER MAKES BETTER SPATIO-T EMPORAL,2025,ICLR,Oral,6,,10,Yes,,52853,17,Spatio-Temporal Video Grounding;Target-Aware Transformers;Multimodal Feature Interactions;Object Query Initialization,https://arxiv.org/pdf/2502.11168,https://iclr.cc/media/iclr-2025/Slides/29364.pdf
LEARNING TO DISCRETIZE,2025,ICLR,Oral,6,,8,Yes,,49108,29,Diffusion Probabilistic Models;Sampling Efficiency;Neural Function Evaluations;Generative Model Optimization,https://arxiv.org/pdf/2405.15506,https://iclr.cc/media/iclr-2025/Slides/31735.pdf
MEASURING AND ENHANCING TRUSTWORTHINESS OF,2025,ICLR,Oral,3,,10,Yes,,65340,39,Trustworthiness Evaluation in LLMs;Retrieval-Augmented Generation (RAG);Prompting Methods for LLMs;Model Alignment Techniques,https://arxiv.org/pdf/2409.11242,https://iclr.cc/media/iclr-2025/Slides/31873.pdf
NEURAL PLANE - S TRUCTURED 3D R ECONSTRUCTION,2025,ICLR,Oral,7,,3,Yes,,48329,16,3D Plane Reconstruction;Neural Fields;Self-Supervised Learning;Semantic Segmentation,https://openreview.net/pdf?id=5UKrnKuspb,https://iclr.cc/media/iclr-2025/Slides/30944.pdf
Navigating the Digital World as Humans Do,2025,ICLR,Oral,5,,9,Yes,,61854,26,Visual Grounding;Multimodal Learning;Graphical User Interface (GUI) Agents;Synthetic Data Generation,https://arxiv.org/pdf/2410.05243,https://iclr.cc/media/iclr-2025/Slides/32124.pdf
OPEN -VOCABULARY OBJECT DETECTION VIA,2025,ICLR,Oral,7,,6,Yes,,48188,12,Open-Vocabulary Object Detection;Knowledge Distillation;Vision and Language Integration;Transfer Learning,https://arxiv.org/pdf/2104.13921,https://iclr.cc/media/iclr-2025/Slides/31930.pdf
Open-YOLO 3D - Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation,2025,ICLR,Oral,4,,5,Yes,,38184,17,Open-Vocabulary 3D Instance Segmentation;2D Object Detection;Multi-View Image Processing;Real-Time Inference Techniques,https://arxiv.org/pdf/2406.02548,https://iclr.cc/media/iclr-2025/Slides/31900_8PUpb67.pdf
PROBABILISTIC LEARNING TO DEFER - H ANDLING,2025,ICLR,Oral,5,,3,Yes,,47151,47,Learning to Defer;Probabilistic Modelling;Workload Distribution in Human-AI Cooperation;Handling Missing Annotations,https://openreview.net/pdf?id=zl0HLZOJC9,https://iclr.cc/media/iclr-2025/Slides/31728.pdf
REPRESENTATION ALIGNMENT FOR GENERATION,2025,ICLR,Oral,8,,5,Yes,,61444,19,Representation Alignment;Denoising Diffusion Models;Visual Representation Learning;Training Efficiency in Generative Models,https://arxiv.org/pdf/2410.06940,https://iclr.cc/media/iclr-2025/Slides/31896.pdf
SD-L ORA - S CALABLE DECOUPLED LOW-RANK ADAP,2025,ICLR,Oral,5,,5,Yes,,46379,28,Class Incremental Learning;Low-Rank Adaptation;Scalable Machine Learning;Continual Learning,https://arxiv.org/pdf/2501.13198,https://iclr.cc/media/iclr-2025/Slides/31918.pdf
SPIDER 2.0 - E VALUATING LANGUAGE MODELS ON,2025,ICLR,Oral,18,,18,Yes,,58210,23,Text-to-SQL Transformation;SQL Query Generation;Model Evaluation Frameworks;Enterprise Database Systems,https://arxiv.org/pdf/2411.07763,https://iclr.cc/media/iclr-2025/Slides/31826.pdf
STANDARD GAUSSIAN PROCESS IS ALL YOU NEED FOR,2025,ICLR,Oral,5,,4,Yes,,44476,24,Bayesian Optimization;Gaussian Processes;Matérn Kernels;High-Dimensional Optimization,https://arxiv.org/pdf/2402.02746,https://iclr.cc/media/iclr-2025/Slides/31784.pdf
TIME MIXER ++ - A G ENERAL TIME SERIES PATTERN,2025,ICLR,Oral,5,,10,Yes,,59545,18,Time Series Analysis;Pattern Extraction;Multi-Resolution Time Imaging;Anomaly Detection,https://arxiv.org/pdf/2410.16032,https://iclr.cc/media/iclr-2025/Slides/31932.pdf
TOWARD GUIDANCE -F REE AR V ISUAL GENERATION,2025,ICLR,Oral,8,,3,Yes,,60033,26,Classifier-Free Guidance;Autoregressive Visual Generation;Contrastive Learning;Multi-Modal Alignment,https://arxiv.org/pdf/2410.09347,https://iclr.cc/media/iclr-2025/Slides/31786.pdf
UNLOCKING STATE-TRACKING IN LINEAR RNN S,2025,ICLR,Oral,9,,5,Yes,,56524,22,Linear Recurrent Neural Networks;State-Tracking in Neural Networks;Eigenvalue Analysis in Neural Networks;Language Modeling,https://arxiv.org/pdf/2411.12537,https://iclr.cc/media/iclr-2025/Slides/31836.pdf
miniCTX - NEURAL THEOREM PROVING WITH (LONG -) CONTEXTS,2025,ICLR,Oral,5,,5,Yes,,49565,26,Neural Theorem Proving;Contextual Reasoning;Interactive Theorem Provers;Fine-Tuning Language Models,https://arxiv.org/pdf/2408.03350,https://iclr.cc/media/iclr-2025/Slides/31870.pdf
Can MLLMs Reason in Multimodality,2025,ICML,Oral,8,,3,Yes,,45918,45,Multimodal Reasoning;Benchmark Development;Cross-Modal Reasoning Tasks;Large Language Models Evaluation,https://arxiv.org/pdf/2501.05444,https://icml.cc/media/icml-2025/Slides/47178_idf0Qr8.pdf
Foundation Model Insights and a Multi-Model Approach for,2025,ICML,Oral,4,,3,Yes,,50190,36,One-Shot Subset Selection;Foundation Models;Fine-Grained Image Datasets;Data Efficiency in Deep Learning,https://arxiv.org/pdf/2506.14473,https://icml.cc/media/icml-2025/Slides/47211.pdf
Learning with Expected Signatures - Theory and Applications,2025,ICML,Oral,3,,3,Yes,,46366,13,Expected Signatures;Time Series Analysis;Martingale Processes;Probabilistic Machine Learning,https://arxiv.org/pdf/2505.20465,https://icml.cc/media/icml-2025/Slides/43548.pdf
LoRA-One - One-Step Full Gradient Could Suffice for Fine-Tuning Large,2025,ICML,Oral,5,,5,Yes,,45295,24,Low-Rank Adaptation;Gradient Descent Optimization;Fine-Tuning Large Language Models;Theory-Driven Algorithm Design,https://arxiv.org/pdf/2502.01235,https://icml.cc/media/icml-2025/Slides/47237.pdf
Model_Immunization_from_a_Condition_Number_Perspective,2025,ICML,Oral,3,,3,Yes,,42978,20,Model Immunization;Condition Number Analysis;Hessian Matrix Regularization;Non-Harmful Task Retention,https://arxiv.org/pdf/2505.23760,https://icml.cc/media/icml-2025/Slides/47180.pdf
Position - Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance,2025,ICML,Oral,9,,4,Yes,,44267,9,Model Licensing Practices;Legal Compliance in AI;Standardization of ML Licenses;Risks of License Noncompliance,https://raw.githubusercontent.com/mlresearch/v267/main/assets/duan25d/duan25d.pdf,https://icml.cc/media/icml-2025/Slides/40180_4s09QZJ.pdf
Sundial - A Family of Highly Capable Time Series Foundation Models,2025,ICML,Oral,10,,7,Yes,,57288,27,Time Series Forecasting;Transformers in Time Series;Generative Forecasting Models;Probabilistic Prediction Techniques,https://arxiv.org/pdf/2502.00816,https://icml.cc/media/icml-2025/Slides/45591_NN9Y4k8.pdf
VideoRoPE - What Makes for Good Video Rotary Position Embedding,2025,ICML,Oral,7,,5,Yes,,48167,17,Rotary Position Embedding;Spatio-Temporal Analysis;Video Retrieval;Video Understanding,https://arxiv.org/pdf/2502.05173,https://icml.cc/media/icml-2025/Slides/47183.pdf
Adaptive Surrogate Gradients for Sequential,2025,NeurIPS,Oral,5,,7,No,,50102,60,Spiking Neural Networks;Surrogate Gradient Optimization;Reinforcement Learning;Neuromorphic Computing,https://arxiv.org/pdf/2510.24461,https://nips.cc/media/neurips-2025/Slides/116055.pdf
Dynam3D - Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation,2025,NeurIPS,Oral,4,,6,Yes,,49369,13,Vision-and-Language Navigation;3D Object Recognition;Dynamic 3D Representation;Long-Term Environmental Memory,https://arxiv.org/pdf/2505.11383,https://nips.cc/media/neurips-2025/Slides/115716.pdf
GNNXEMPLAR - Exemplars to Explanations - Natural,2025,NeurIPS,Oral,11,,3,Yes,,70794,41,Graph Neural Networks;Global Explainability;Natural Language Processing;Exemplar Selection,https://arxiv.org/pdf/2509.18376,https://neurips.cc/media/neurips-2025/Slides/116902.pdf
OpenHOI - Open-World Hand-Object Interaction,2025,NeurIPS,Oral,3,,5,Yes,,44988,20,Open-World Hand-Object Interaction;Multimodal Large Language Models;Affordance-driven Diffusion Models;Complex Language Instruction Decomposition,https://arxiv.org/pdf/2505.18947,https://neurips.cc/media/neurips-2025/Slides/120304.pdf