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)
Efficient Process Reward Modeling via Contrastive Mutual Information
ACL 2026
Efficient Provably Secure Linguistic Steganography via Range Coding
ACL 2026
Efficient Self-Supervised Adaptation of 3D Abdominal Vision-Language Model for Institution-Specific HCC Classification via Full Fine-Tuning and PEFT
MIDL 2026
EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME Scenarios
ACL 2026
EfficientVPR: Toward Efficient Visual Place Recognition via Scene-Aware Prompt Tuning and Adaptive Feature Enhancement
CVPR 2026
Efficient Weighted Sampling via Score-based Generative Models
CVPR 2026
EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors
MIDL 2026
EgoEdit: Dataset, Real-Time Streaming Model, and Benchmark for Egocentric Video Editing
CVPR 2026
EgoMind: Activating Spatial Cognition through Linguistic Reasoning in MLLMs
CVPR 2026
EgoPoseFormer v2: Accurate Egocentric Human Motion Estimation for AR/VR
CVPR 2026
EI-Part:Explode for Completion and Implode for Refinement
CVPR 2026
Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding
CVPR 2026
Elastic Weight Consolidation Done Right for Continual Learning
CVPR 2026
Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching
CVPR 2026
Eliminate Distance Differences Induced by Backdoor Attacks: Layer-Selective Training and Clipping to Mask Backdoor Models
CVPR 2026
ELVIS: Enhance Low-Light for Video Instance Segmentation in the Dark
CVPR 2026
EMAD: Evidence-Centric Grounded Multimodal Diagnosis for Alzheimer's Disease
CVPR 2026
Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs
ACL 2026
emg2speech: synthesizing speech from electromyography using self-supervised speech models
ACL 2026
EMMA: Extracting Multiple physical parameters from Multimodal Data
CVPR 2026
EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
AAAI 2026
EmoTaG: Emotion-Aware Talking Head Synthesis on Gaussian Splatting with Few-Shot Personalization
CVPR 2026
EmoThinker: Advancing Visual-Acoustic Emotion Analysis via Structural Token Selection and Chain-of-Thought Reasoning
CVPR 2026
Emotion-Wheel-Guided Audio-Referred Text Representation for Multimodal Emotion Recognition in Conversation
ACL 2026
Empirical Analysis of Decoding Biases in Masked Diffusion Models
ACL 2026