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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'20
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Papers (including subtopics)
UniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?
EMNLP 2022
Uni[MASK]: Unified Inference in Sequential Decision Problems
NeurIPS 2022
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning
EMNLP 2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
NeurIPS 2022
Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks
CVPR 2022
UniRank: Unimodal Bandit Algorithms for Online Ranking
ICML 2022
UNISON: Unpaired Cross-Lingual Image Captioning
AAAI 2022
Universal and data-adaptive algorithms for model selection in linear contextual bandits
ICML 2022
Universality of Winning Tickets: A Renormalization Group Perspective
ICML 2022
Universalizing Weak Supervision
ICLR 2022
Universal Online Learning: an Optimistically Universal Learning Rule
COLT 2022
Universal Online Learning with Bounded Loss: Reduction to Binary Classification
COLT 2022
Universal Rates for Interactive Learning
NeurIPS 2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training
CVPR 2022
UniXcoder: Unified Cross-Modal Pre-training for Code Representation
ACL 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
NeurIPS 2022
Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild
CVPR 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective
JMLR 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
AISTATS 2022
Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification
CVPR 2022
Unmasking the Mask – Evaluating Social Biases in Masked Language Models
AAAI 2022
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
AAAI 2022
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
NeurIPS 2022
Unpaired Deep Image Deraining Using Dual Contrastive Learning
CVPR 2022
Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection
COLING 2022