Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
UTokyo Tsuruoka Lab at SemEval-2026 Task 9: Efficient Single Forward Pass Inference for Multi-Label Polarization Classification
SemEval 2026
UVLM: Benchmarking Video Language Model for Underwater World Understanding
AAAI 2026
V2VLoc: Robust GNSS-Free Collaborative Perception via LiDAR Localization
AAAI 2026
VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling
AAAI 2026
VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging
AAAI 2026
Valid and Efficient Uncertainty Quantification for Federated Joint Shift
UAI 2026
Validating Automatic Evaluation of Controllable Counterspeech Generation: Rankings Matter More Than Scores
EACL 2026
Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages
ACL 2026
Valid Inference for Treatment Effects under Multimodal Confounding
CLeaR 2026
Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation
AAAI 2026
Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization
UAI 2026
Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method
ALT 2026
Variance reduction combining pre-experiment and in-experiment data
CLeaR 2026
Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems
UAI 2026
Variance Reduction via Resampling and Experience Replay
AAAI 2026
Variational OOD State Correction for Offline Reinforcement Learning
AAAI 2026
Variational Tail Bounds for Norms of Random Vectors and Matrices
COLT 2026
Variation-Bounded Loss for Noise-Tolerant Learning
AAAI 2026
VasoMIM: Vascular Anatomy-Aware Masked Image Modeling for Vessel Segmentation
AAAI 2026
VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees
UAI 2026
VBF++: Variational Bayesian Fusion with Context-Aware Priors and Recommendation-Guided Adversarial Refinement for Multimodal Video Recommendation
AAAI 2026
VCGD: Visual Clue Guided Decoding with Caption Model for Mitigating Hallucination in Multimodal Large Language Models
AAAI 2026
Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes
JMLR 2026
VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
WACV 2026
Vector-Valued Gaussian Processes for Approximating Divergence- or Rotation-free Vector Fields
JMLR 2026