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)
COPR: Continual Human Preference Learning via Optimal Policy Regularization
ACL 2025
Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection
AAAI 2025
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation
NAACL 2025
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
AAAI 2025
Coreference as an indicator of context scope in multimodal narrative
ACL 2025
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
ICML 2025
CoRet: Improved Retriever for Code Editing
ACL 2025
Corpus Poisoning via Approximate Greedy Gradient Descent
ACL 2025
CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation
ICCV 2025
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection
CVPR 2025
Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
ACL 2025
Correcting Large Language Model Behavior via Influence Function
AAAI 2025
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
AAAI 2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes
EMNLP 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning
EMNLP 2025
COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework
UAI 2025
COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation
CVPR 2025
COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation
ACL 2025
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
CVPR 2025
CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
CVPR 2025
Costs and Benefits of AI-Enabled Topic Modeling in P-20 Research: The Case of School Improvement Plans
ACL 2025
CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
ACL 2025
Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models
Interspeech 2025
Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning
AAAI 2025
Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning
ACL 2025