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)
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
ACL 2026
Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation
CVPR 2026
Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search
ACL 2026
Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents
ACL 2026
Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training
CVPR 2026
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
ACL 2026
Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models
ACL 2026
Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation?
CVPR 2026
Retrieve-to-Restore: Efficient All-in-One Image Restoration with a Retrieval-Based Degradation Bank
CVPR 2026
Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification
ACL 2026
Reusable Experiences: Latent Routing and Modular Composition in LLMs
ACL 2026
Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis
MIDL 2026
Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient Organization
ACL 2026
Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs
ACL 2026
REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
MIDL 2026
Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification
CVPR 2026
Revisiting Age of Acquisition in Curriculum Learning: Disentangling Lexical Features and Semantic Structure
CoNLL 2026
Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation
ACL 2026
Revisiting the Necessity of Full Accuracy: Weakly Supervised Object-Level Offset Correction for Misaligned Building Labels
CVPR 2026
Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization
CVPR 2026
Revisiting Visual Corruptions in LVLMs: A Shape-Texture Perspective on Model Failures
CVPR 2026
Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding
ACL 2026
REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding
CVPR 2026
Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach
ACL 2026
Reward Alignment Optimization: A Direct Point-wise Alignment Approach
ACL 2026