Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
COLING 2025
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
NAACL 2025
2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset Download PDF
ACL 2025
300k/ns team at the Crypto Trading Challenge Task: Enhancing the justification of accurate trading decisions through parameter-efficient fine-tuning of reasoning models
COLING 2025
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection
AAAI 2025
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving
AAAI 2025
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
AAAI 2025
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
ICCV 2025
3D Prior Is All You Need: Cross-Task Few-shot 2D Gaze Estimation
CVPR 2025
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
ICLR 2025
3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
EMNLP 2025
3D Test-time Adaptation via Graph Spectral Driven Point Shift
ICCV 2025
3R: Enhancing Sentence Representation Learning via Redundant Representation Reduction
EMNLP 2025
3SAT: A Simple Self-Supervised Adversarial Training Framework
AAAI 2025
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding
ICCV 2025
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance
AAAI 2025
4DGC: Rate-Aware 4D Gaussian Compression for Efficient Streamable Free-Viewpoint Video
CVPR 2025
4Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion
CVPR 2025
5cNLP at BioLaySumm2025: Prompts, Retrieval, and Multimodal Fusion
ACL 2025
7 Points to Tsinghua but 10 Points to ? Assessing Large Language Models in Agentic Multilingual National Bias
ACL 2025
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
AAAI 2025
𝒜3: Automatic Alignment Framework for Attributed Text Generation
ACL 2025
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
CVPR 2025
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
CVPR 2025
AAIG at GenAI Detection Task 1: Exploring Syntactically-Aware, Resource-Efficient Small Autoregressive Decoders for AI Content Detection
COLING 2025