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)

Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents AAAI 2026 Designing to Forget: Deep Semi-parametric Models for Unlearning CVPR 2026 Designing Truthful Mechanisms for Asymptotic Fair Division AAAI 2026 DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression AAAI 2026 De-Speakerizing Accented ASR: Measuring and Mitigating Speaker Entanglement for Fair, Reliable Recognition AAAI 2026 Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception AAAI 2026 DETECT: Determining Ease and Textual Clarity of German Text Simplifications EACL 2026 Detecting Fake News in Short Videos Through Multi-View Aggregation AAAI 2026 Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark EACL 2026 Detecting Non-Membership in LLM Training Data via Rank Correlations EACL 2026 Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting WACV 2026 Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment UAI 2026 Detecting Overflow in Compressed Token Representations for Retrieval-Augmented Generation EACL 2026 Detecting Primary Progressive Aphasia (PPA) from Text: A Benchmarking Study EACL 2026 Detecting reported speech as a token classification task: an application to Classical Latin? EACL 2026 Detecting Subtle Biases: An Ethical Lens on Underexplored Areas in AI Language Models Biases EACL 2026 Detecting Subtle Sense Shift with Polysemy-Aware Trends EACL 2026 Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching AAAI 2026 Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026 Detecting (Un)answerability in Large Language Models with Linear Directions EACL 2026 Detecting Unknown Objects via Energy-based Separation for Open World Object Detection CVPR 2026 Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026 Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models WACV 2026 Detection of Adversarial Prompts with Model Predictive Entropy EACL 2026 Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract) AAAI 2026