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)
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
NeurIPS 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
NeurIPS 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair
ICML 2021
Bridge-Based Active Domain Adaptation for Aspect Term Extraction
ACL 2021
Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering
CVPR 2021
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling
EMNLP 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
ICML 2021
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
NeurIPS 2021
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation
ACL 2021
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management
EACL 2021
Bridging the Imitation Gap by Adaptive Insubordination
NeurIPS 2021
Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision
ICCV 2021
Broaden Your Views for Self-Supervised Video Learning
ICCV 2021
Budgeted Heterogeneous Treatment Effect Estimation
ICML 2021
Budget Feasible Mechanisms Over Graphs
AAAI 2021
Building Adaptive Acceptability Classifiers for Neural NLG
EMNLP 2021
Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning
ACML 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
NeurIPS 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
ICML 2021
Byzantine-Resilient Non-Convex Stochastic Gradient Descent
ICLR 2021
C2N: Practical Generative Noise Modeling for Real-World Denoising
ICCV 2021
C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing
ICCV 2021
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation
ICCV 2021
calibrated adversarial training
ACML 2021
Calibrate your listeners! Robust communication-based training for pragmatic speakers
EMNLP 2021