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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'10
'15
'20
'25
Papers (including subtopics)
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives
EMNLP 2024
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
NeurIPS 2024
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
AAAI 2024
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
NeurIPS 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
AAAI 2024
Where does In-context Learning Happen in Large Language Models?
NeurIPS 2024
Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval
NeurIPS 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
IJCAI 2024
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition
ACL 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
AAAI 2024
Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation
Interspeech 2024
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
EMNLP 2024
Whittle Index with Multiple Actions and State Constraint for Inventory Management
ICLR 2024
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)
NeurIPS 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
AAAI 2024
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
NeurIPS 2024
Who Wrote this Code? Watermarking for Code Generation
ACL 2024
Why academia should cut back general enthusiasm about CAs
EACL 2024
Why are Visually-Grounded Language Models Bad at Image Classification?
NeurIPS 2024
‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation
AAAI 2024
Why Don’t Prompt-Based Fairness Metrics Correlate?
ACL 2024
Why Do We Need Weight Decay in Modern Deep Learning?
NeurIPS 2024
Why is SAM Robust to Label Noise?
ICLR 2024
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise
NAACL 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations
NeurIPS 2024