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)
Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release
WACV 2026
Reward Model Evaluation via Automatically-Ranked Policy Alignment
AAAI 2026
Reward Redistribution via Gaussian Process Likelihood Estimation
AAAI 2026
Reward Selection with Noisy Observations
ALT 2026
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
CVPR 2026
RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation
AAAI 2026
RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models
AAAI 2026
RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework
CVPR 2026
R-GDA: Reflective Guidance Data Augmentation with Multi-Agent Feedback for Domain-Specific Named Entity Recognition
EACL 2026
Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction
AAAI 2026
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
AAAI 2026
RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization
AAAI 2026
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
AAAI 2026
Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
AAAI 2026
Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method
COLT 2026
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
AAAI 2026
RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting
AAAI 2026
Ripple Mechanisms for Discrete and Private Statistics
COLT 2026
Risk Atlas Nexus: A System for Managing AI Risks
AAAI 2026
Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (Extended Abstract)
COLT 2026
RiverScope: High-Resolution River Masking Dataset
AAAI 2026
RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning
AAAI 2026
RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing
AAAI 2026
RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection
ACL 2026
RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation
AAAI 2026