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)
Themis: A Fair Evaluation Platform for Computer Vision Competitions
IJCAI 2021
The OOD Blind Spot of Unsupervised Anomaly Detection
MIDL 2021
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
ICLR 2021
Theoretical and Practical Issues in the Semantic Annotation of Four Indigenous Languages
EMNLP 2021
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation
AAAI 2021
The Parameterized Complexity of Clustering Incomplete Data
AAAI 2021
The Pareto Frontier of model selection for general Contextual Bandits
NeurIPS 2021
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
EMNLP 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories Using Dual Memory
ICCV 2021
There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge
CVPR 2021
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
NeurIPS 2021
The Role of Syntactic Planning in Compositional Image Captioning
EACL 2021
The Sample Complexity of Robust Covariance Testing
COLT 2021
The Sample Complexity of Teaching by Reinforcement on Q-Learning
AAAI 2021
The Source-Target Domain Mismatch Problem in Machine Translation
EACL 2021
The Sparse Vector Technique, Revisited
COLT 2021
The Spatially-Correlative Loss for Various Image Translation Tasks
CVPR 2021
The statistical advantage of automatic NLG metrics at the system level
ACL 2021
The Successful Ingredients of Policy Gradient Algorithms
IJCAI 2021
The Surprising Impact of Mask-Head Architecture on Novel Class Segmentation
ICCV 2021
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach
EMNLP 2021
The TAL System for the INTERSPEECH2021 Shared Task on Automatic Speech Recognition for Non-Native Childrens Speech
Interspeech 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
CVPR 2021
The Translucent Patch: A Physical and Universal Attack on Object Detectors
CVPR 2021
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
ICLR 2021