Skip to content
conftrace_

Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5
76
533
1,651
11,133
21,167
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

MatSpectNet: Material Segmentation Network with Domain-Aware and Physically-Constrained Hyperspectral Reconstruction WACV 2025 MatViX: Multimodal Information Extraction from Visually Rich Articles NAACL 2025 MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling ICCV 2025 MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation ICCV 2025 MAVias: Mitigate any Visual Bias ICCV 2025 MAviS: A Multimodal Conversational Assistant For Avian Species EMNLP 2025 MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine ICLR 2025 MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks ICLR 2025 Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval ACL 2025 Maximin Share Guarantees for Few Agents with Subadditive Valuations IJCAI 2025 Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization ICML 2025 Maximizing the Effectiveness of Larger BERT Models for Compression ACL 2025 Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory ICLR 2025 Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025 Maximum Entropy Softmax Policy Gradient via Entropy Advantage Estimation IJCAI 2025 Maximum Score Routing For Mixture-of-Experts ACL 2025 Maximum Total Correlation Reinforcement Learning ICML 2025 MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization ICLR 2025 Max-Mahalanobis Anchors Guidance for Multi-View Clustering AAAI 2025 Max-Rank: Efficient Multiple Testing for Conformal Prediction AISTATS 2025 MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models EMNLP 2025 MBTI: Masked Blending Transformers with Implicit Positional Encoding for Frame-rate Agnostic Motion Estimation ICCV 2025 MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing EMNLP 2025