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)
Read and Attend: Temporal Localisation in Sign Language Videos
CVPR 2021
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
AAAI 2021
Real-Time Independent Vector Analysis Using Semi-Supervised Nonnegative Matrix Factorization as a Source Model
Interspeech 2021
ReasonBERT: Pre-trained to Reason with Distant Supervision
EMNLP 2021
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer
EMNLP 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
NeurIPS 2021
Recall and Learn: A Memory-augmented Solver for Math Word Problems
EMNLP 2021
RECALL: Replay-Based Continual Learning in Semantic Segmentation
ICCV 2021
Recent Advances in Adversarial Training for Adversarial Robustness
IJCAI 2021
Recent Advances in Heterogeneous Relation Learning for Recommendation
IJCAI 2021
Reciprocal Landmark Detection and Tracking With Extremely Few Annotations
CVPR 2021
Recognising Covid-19 from Coughing Using Ensembles of SVMs and LSTMs with Handcrafted and Deep Audio Features
Interspeech 2021
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
EMNLP 2021
Reconciling Rewards with Predictive State Representations
IJCAI 2021
Reconsidering Representation Alignment for Multi-View Clustering
CVPR 2021
Reconstruction Attack on Instance Encoding for Language Understanding
EMNLP 2021
Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising
CVPR 2021
Recovering Latent Causal Factor for Generalization to Distributional Shifts
NeurIPS 2021
Recovering Lexically and Semantically Reused Texts
ACL 2021
Rectification-Based Knowledge Retention for Continual Learning
CVPR 2021
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification
NeurIPS 2021
Recurrent Independent Mechanisms
ICLR 2021
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation
ICCV 2021
Recurrent Multi-View Alignment Network for Unsupervised Surface Registration
CVPR 2021
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
NeurIPS 2021