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)

Infinite-dimensional Diffusion Bridge Simulation via Operator Learning AISTATS 2025 Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection JMLR 2025 Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation ACL 2025 Infinite Width Limits of Self Supervised Neural Networks AISTATS 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025 Influence-driven Curriculum Learning for Pre-training on Limited Data EMNLP 2025 Influence Functions for Scalable Data Attribution in Diffusion Models ICLR 2025 Influence of Room Acoustics on Objective Voice Assessment Methods in the Context of Speech and Language Therapy Interspeech 2025 Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles ACL 2025 InfoBridge: Balanced Multimodal Integration through Conditional Dependency Modeling ICCV 2025 Info-Coevolution: An Efficient Framework for Data Model Coevolution ICML 2025 InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory ICML 2025 InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering EMNLP 2025 Infogent: An Agent-Based Framework for Web Information Aggregation NAACL 2025 InfoNCE: Identifying the Gap Between Theory and Practice AISTATS 2025 InfoPO: On Mutual Information Maximization for Large Language Model Alignment NAACL 2025 Information-Based Exploration via Random Features for Reinforcement Learning ACML 2025 Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting ICML 2025 Information Density Principle for MLLM Benchmarks ICCV 2025 Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation WACV 2025 Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models NAACL 2025 Information Locality as an Inductive Bias for Neural Language Models ACL 2025 Information-Theoretic and Prompt-Based Evaluation of Discourse Connective Edits in Instructional Text Revisions EMNLP 2025 Information-Theoretic Causal Discovery in Topological Order AISTATS 2025