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)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts ACL 2025 Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks ICLR 2025 Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025 Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion AAAI 2025 Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning AAAI 2025 AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts ICCV 2025 Auto prompting without training labels: An LLM cascade for product quality assessment in e-commerce catalogs EMNLP 2025 AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation WACV 2025 Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving ICML 2025 Autoregressive Denoising Score Matching is a Good Video Anomaly Detector ICCV 2025 Autoregressive Distillation of Diffusion Transformers CVPR 2025 Auto-Regressive Moving Diffusion Models for Time Series Forecasting AAAI 2025 Autoregressive Pretraining with Mamba in Vision ICLR 2025 Autoregressive Sequence Modeling for 3D Medical Image Representation AAAI 2025 Autoregressive Sequential Pretraining for Visual Tracking CVPR 2025 Autoregressive Speech Synthesis without Vector Quantization ACL 2025 Auto Review: Second Stage Error Detection for Highly Accurate Information Extraction from Phone Conversations ACL 2025 AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery AAAI 2025 AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists EMNLP 2025 AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks AAAI 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing CVPR 2025 AutoStep: Locally adaptive involutive MCMC ICML 2025 AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization ACL 2025 AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection ICLR 2025 Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks EMNLP 2025