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)
Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study
NAACL 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
WACV 2024
Assessing News Thumbnail Representativeness: Counterfactual text can enhance the cross-modal matching ability
ACL 2024
Assessing the Effectiveness of GPT-4o in Climate Change Evidence Synthesis and Systematic Assessments: Preliminary Insights
ACL 2024
Assessing the Significance of Encoded Information in Contextualized Representations to Word Sense Disambiguation
EACL 2024
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP 2024
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach
EMNLP 2024
Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction
WACV 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
NeurIPS 2024
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
NeurIPS 2024
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
ICML 2024
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
CVPR 2024
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
NeurIPS 2024
A Sublinear Adversarial Training Algorithm
ICLR 2024
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
CVPR 2024
A surprisal oracle for when every layer counts
CoNLL 2024
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
NeurIPS 2024
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
AAAI 2024
A Survey of Data-Efficient Graph Learning
IJCAI 2024
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint)
AAAI 2024
A Survey on In-context Learning
EMNLP 2024
A Survey on Multi-player Bandits
JMLR 2024
A Survey on Neural Question Generation: Methods, Applications, and Prospects
IJCAI 2024
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
AAAI 2024
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
ACL 2024