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)

Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025 Improving Flow Matching by Aligning Flow Divergence ICML 2025 Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks ICLR 2025 Improving Generalization for AI-Synthesized Voice Detection AAAI 2025 Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging ICML 2025 Improving Generalization in Meta-Learning via Meta-Gradient Augmentation IJCAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025 Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization AAAI 2025 Improving Generalization with Flat Hilbert Bayesian Inference ICML 2025 Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick JMLR 2025 Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach EMNLP 2025 Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration NAACL 2025 Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation ACL 2025 Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities EMNLP 2025 Improving Informally Romanized Language Identification EMNLP 2025 Improving Instruction-Following in Language Models through Activation Steering ICLR 2025 Improving Instruct Models for Free: A Study on Partial Adaptation EMNLP 2025 Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025 Improving Language and Modality Transfer in Translation by Character-level Modeling ACL 2025 Improving Language Model Distillation through Hidden State Matching ICLR 2025 Improving Language Model Personas via Rationalization with Psychological Scaffolds EMNLP 2025 Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation EMNLP 2025 Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025 Improving Large Language Model Planning with Action Sequence Similarity ICLR 2025