Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization
AAAI 2025
VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
ICCV 2025
VRM: Knowledge Distillation via Virtual Relation Matching
ICCV 2025
VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge
Interspeech 2025
VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians
ICML 2025
Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation
ACL 2025
VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems
ICLR 2025
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
AAAI 2025
wangkongqiang at SemEval-2025 Task 11:Bridging the Gap in Text-Based Emotion Detection
SemEval 2025
Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation
ACL 2025
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
ACL 2025
Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy
ICLR 2025
Watch Out for Your Guidance on Generation! Exploring Conditional Backdoor Attacks against Large Language Models
AAAI 2025
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
AAAI 2025
Wave-driven Graph Neural Networks with Energy Dynamics for Over-smoothing Mitigation
IJCAI 2025
Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening
AAAI 2025
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
AAAI 2025
WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition
AAAI 2025
WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning
L4DC 2025
WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models
CVPR 2025
WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models
ACL 2025
Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
ICML 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
CVPR 2025
Weakly-Supervised Contrastive Learning for Imprecise Class Labels
ICML 2025
Weakly Supervised Data Refinement and Flexible Sequence Compression for Efficient Thai LLM-based ASR
Interspeech 2025