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
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'25
Papers (including subtopics)
Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent
JMLR 2026
Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning
AAAI 2026
Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit
AAAI 2026
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion
EACL 2026
ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning
ACL 2026
Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input
AAAI 2026
Resilience Inference for Supply Chains with Hypergraph Neural Network
AAAI 2026
Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage
AAAI 2026
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
AAAI 2026
ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract)
AAAI 2026
Resolving Predictive Multiplicity for the Rashomon Set
AAAI 2026
Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning
AAAI 2026
ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection
AAAI 2026
Re-SpS: A Reinforcement Learning Approach to Speculative Sampling
AAAI 2026
RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation
AAAI 2026
Retaliatory Attacks Against Federated Unlearning via Data Leakage
AAAI 2026
RetFormer: Multimodal Retrieval for Enhancing Image Recognition
CVPR 2026
Rethinking AI: From Functions to Functors
AAAI 2026
Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method
AAAI 2026
Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
AAAI 2026
Rethinking Data Mixing from the Perspective of Large Language Models
ACL 2026
Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
EACL 2026
Rethinking Dataset Distillation: Hard Truths about Soft Labels
CVPR 2026
Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning
AAAI 2026
Rethinking Direct Preference Optimization in Diffusion Models
AAAI 2026