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

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis EACL 2026 Beyond Sampling: Self-Sorting for Long-Context Ranking EACL 2026 Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection AAAI 2026 Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models EACL 2026 Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning AAAI 2026 Beyond Sharpness: The Role of Nonuniformity in Generalization AAAI 2026 Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing AAAI 2026 Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks AAAI 2026 Beyond Single Transactions: D-EMAML---Dual-Edge Motif Neural Networks for Enhanced Anti-Money Laundering Detection AAAI 2026 BeyondSparse: Facilitating Mamba to Enhance Cross-Domain 3D Semantic Segmentation in Adverse Weather AAAI 2026 Beyond Static Benchmarks: Synthesizing Harmful Content via Persona-based Simulation for Robust Evaluation ACL 2026 Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models AAAI 2026 Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction WACV 2026 Beyond the Highlights: Video Retrieval with Salient and Surrounding Contexts WACV 2026 Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits AAAI 2026 Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training AAAI 2026 Beyond Tokens: Concept-Level Training Objectives for LLMs EACL 2026 Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement AAAI 2026 Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability CVPR 2026 Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data JMLR 2026 Beyond Unified Models: A Service-Oriented Approach to Low Latency, Context Aware Phonemization for Real Time TTS EACL 2026 BGCL:Learning Constitutive Laws for System Identification L4DC 2026 BhashaKritika: Building Synthetic Pretraining Data at Scale for Indic Languages AAAI 2026 Bias Association Discovery Framework for Open-Ended LLM Generations AAAI 2026 Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models CVPR 2026