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)
Beyond Mimicry: Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations
CVPR 2026
Beyond Missing Modalities: Hypergraph Conditioned Diffusion for Uncertainty-Aware Multimodal Emotion Recognition
CVPR 2026
Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means
UAI 2026
Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT
CVPR 2026
Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning
CVPR 2026
Beyond Natural Images: A Dual-Stream DINOv3 Framework for PET/CT Segmentation
MIDL 2026
Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification
CVPR 2026
Beyond Pedagogical Principles: Multi-Horizon Preference Optimization for Efficient Socratic Tutoring
ACL 2026
Beyond Single Representations: Multi-Model Embedding Fusion for Stable Text Classification
ACL 2026
Beyond Soft Label: Dataset Distillation via Orthogonal Gradient Matching
CVPR 2026
Beyond Strict Pairing: Arbitrarily Paired Training for High-Performance Infrared and Visible Image Fusion
CVPR 2026
Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration
CVPR 2026
Beyond Text: Visual Description Assembly by Probabilistic Model for CLIP-based Weakly Supervised Semantic Segmentation
CVPR 2026
Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction
WACV 2026
Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training
CVPR 2026
Beyond the Ground Truth: Enhanced Supervision for Image Restoration
CVPR 2026
Beyond the Static World: Continual Category Discovery under Visual Drift
CVPR 2026
Beyond the Static-World: Lifelong Learning for All-in-One Medical Image Restoration
CVPR 2026
Beyond Weak Supervision: MLLMs-Guided Graded Knowledge Distillation for Unsupervised Camouflaged Object Detection
CVPR 2026
Beyond What's Shared: Recovering Lost Unique Information from Intermediate Layers to Boost Multimodal Geo-Foundation Models
CVPR 2026
BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting
CVPR 2026
Bias Fitting to Mitigate Length Bias of Reward Model in RLHF
ACL 2026
Bias Is a Subspace, Not a Coordinate: A Geometric Rethinking of Post-hoc Debiasing in Vision-Language Models
CVPR 2026
Bidirectional Query-Driven Generation of Parametric CAD Sketch
CVPR 2026
BiEvLight: Bi-level Learning of Task-Aware Event Refinement for Low-Light Image Enhancement
CVPR 2026