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)

Data Descriptions from Large Language Models with Influence Estimation EMNLP 2025 Data Distillation for extrapolative protein design through exact preference optimization ICLR 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 DATA: Domain-And-Time Alignment for High-Quality Feature Fusion in Collaborative Perception ICCV 2025 Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs EMNLP 2025 Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025 Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits AISTATS 2025 Data Drives Unstable Hierarchical Generalization in LMs EMNLP 2025 Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents EMNLP 2025 Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data EMNLP 2025 Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025 Dataflow-Guided Neuro-Symbolic Language Models for Type Inference ICML 2025 Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025 Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025 Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior CVPR 2025 Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Data Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature ACL 2025 Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025 Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA SemEval 2025 DataHacks at PerAnsSumm 2025: LoRA-Driven Prompt Engineering for Perspective Aware Span Identification and Summarization NAACL 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025 Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation ACL 2025 DataMan: Data Manager for Pre-training Large Language Models ICLR 2025 Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance ICLR 2025