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)
Better than Average: Paired Evaluation of NLP systems
ACL 2021
Beyond Bandit Feedback in Online Multiclass Classification
NeurIPS 2021
Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning
NAACL 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
AAAI 2021
Beyond English-Centric Multilingual Machine Translation
JMLR 2021
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
EMNLP 2021
Beyond Image to Depth: Improving Depth Prediction Using Echoes
CVPR 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
AISTATS 2021
Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection
CVPR 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
ICCV 2021
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories
CVPR 2021
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape From a Video
CVPR 2021
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers
EACL 2021
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
ICML 2021
Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers
EMNLP 2021
Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations
ICCV 2021
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
ICML 2021
BFClass: A Backdoor-free Text Classification Framework
EMNLP 2021
Bias-Robust Bayesian Optimization via Dueling Bandits
ICML 2021
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
AAAI 2021
Bi-Directional Joint Neural Networks for Intent Classification and Slot Filling
Interspeech 2021
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
AAAI 2021
Bifold and Semantic Reasoning for Pedestrian Behavior Prediction
ICCV 2021
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search
AAAI 2021
Big Self-Supervised Models Advance Medical Image Classification
ICCV 2021