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)
DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework
CVPR 2025
DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
COLING 2025
DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution
CVPR 2025
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI
CVPR 2025
DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference
ACL 2025
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition
NAACL 2025
DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation
ICML 2025
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
ICLR 2025
Dyve: Thinking Fast and Slow for Dynamic Process Verification
EMNLP 2025
DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation
ICCV 2025
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
EMNLP 2025
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS
AAAI 2025
Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
AAAI 2025
Each graph is a new language: Graph Learning with LLMs
ACL 2025
EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models
ACL 2025
EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model
ACL 2025
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
ICLR 2025
EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
ICML 2025
EA-KD: Entropy-based Adaptive Knowledge Distillation
ICCV 2025
EAP-GS: Efficient Augmentation of Pointcloud for 3D Gaussian Splatting in Few-shot Scene Reconstruction
CVPR 2025
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
ICML 2025
Earley-Driven Dynamic Pruning for Efficient Structured Decoding
ICML 2025
Early Alignment in Two-Layer Networks Training is a Two-Edged Sword
JMLR 2025
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
CVPR 2025
Early Concept Drift Detection via Prediction Uncertainty
AAAI 2025