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)
E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training
CVPR 2026
ERCThinker: Fast-Slow Thinking for Emotion Recognition in Conversation
ACL 2026
EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection
CVPR 2026
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
CVPR 2026
Error Analyses of Auto-Regressive Video Diffusion Models
JMLR 2026
ES4MLL at SemEval-2026 Task 2: Set Attention Aggregation and Recurrent Temporal Modeling for Longitudinal Affect Prediction
SemEval 2026
Estimating Interventional Outcomes over Time with Causal Normalizing Flow
UAI 2026
ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration
ACL 2026
EthoCLIP: Ontology-Enhanced Video-Language Pretraining for Animal Behavior Understanding
CVPR 2026
ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
ACL 2026
Evaluating the Expressive Appropriateness of Speech in Rich Contexts
ACL 2026
Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration
UAI 2026
Event-based Motion Deblurring with Unpaired Data
CVPR 2026
EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors
CVPR 2026
Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset
CVPR 2026
Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning
CVPR 2026
EVIA: Entropic Variational Inference Auto-encoding
UAI 2026
Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation
MIDL 2026
Evidential Neural Radiance Fields
CVPR 2026
Evidential Retriever: Uncertainty-Aware Medical Image Retrieval
MIDL 2026
Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation
CVPR 2026
Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS
ACL 2026
EvoID: Reinforced Evolution for Identity-Preserving Video Generation
CVPR 2026
Evolutionary Guided Decoding: Iterative Value Refinement for LLMs
ACL 2026
Evolutionary Negative Module Pruning for Better LoRA Merging
ACL 2026