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)
Improve CAM With Auto-Adapted Segmentation and Co-Supervised Augmentation
WACV 2021
Improved Algorithms for Agnostic Pool-based Active Classification
ICML 2021
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise
COLT 2021
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions
COLT 2021
Improved Consistency Regularization for GANs
AAAI 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
ICML 2021
Improved, Deterministic Smoothing for L_1 Certified Robustness
ICML 2021
Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability
AAAI 2021
Improved Latent Tree Induction with Distant Supervision via Span Constraints
EMNLP 2021
Improved Meta-Learning Training for Speaker Verification
Interspeech 2021
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction
EMNLP 2021
Improved Mutual Information Estimation
AAAI 2021
Improved Named Entity Recognition for Noisy Call Center Transcripts
EMNLP 2021
Improved OOD Generalization via Adversarial Training and Pretraing
ICML 2021
Improved pronunciation prediction accuracy using morphology
ACL 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
ICML 2021
Improved Regret for Zeroth-Order Stochastic Convex Bandits
COLT 2021
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
AAAI 2021
Improvement of Automatic English Pronunciation Assessment with Small Number of Utterances Using Sentence Speakability
Interspeech 2021
Improve Unsupervised Pretraining for Few-Label Transfer
ICCV 2021
Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-Supervised Learning
Interspeech 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing
ICLR 2021
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
AAAI 2021
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
AISTATS 2021
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract)
AAAI 2021