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)
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
AAAI 2024
Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
CVPR 2024
Facilitating Multimodal Classification via Dynamically Learning Modality Gap
NeurIPS 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
AAAI 2024
FactAlign: Long-form Factuality Alignment of Large Language Models
EMNLP 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
ACL 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
EMNLP 2024
Factor-Conditioned Speaking-Style Captioning
Interspeech 2024
Factored Online Planning in Many-Agent POMDPs
AAAI 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
NeurIPS 2024
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
AAAI 2024
FactorSim: Generative Simulation via Factorized Representation
NeurIPS 2024
FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation
ECCV 2024
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent
AISTATS 2024
Fair and Efficient Contribution Valuation for Vertical Federated Learning
ICLR 2024
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
NeurIPS 2024
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
ICLR 2024
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
EMNLP 2024
FAIR: Filtering of Automatically Induced Rules
EACL 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding
EMNLP 2024
Fairness and Privacy Guarantees in Federated Contextual Bandits
ACML 2024
Fairness-Aware Meta-Learning via Nash Bargaining
NeurIPS 2024
Fairness-Aware Online Positive-Unlabeled Learning
EMNLP 2024
Fairness guarantees in multi-class classification with demographic parity
JMLR 2024
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples
AAAI 2024