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)
Enhancing Robustness of Neural Networks through Fourier Stabilization
ICML 2021
Enhancing Self-Supervised Video Representation Learning via Multi-Level Feature Optimization
ICCV 2021
Enhancing the Transferability of Adversarial Attacks Through Variance Tuning
CVPR 2021
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
AAAI 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience
EMNLP 2021
Enriching and Controlling Global Semantics for Text Summarization
EMNLP 2021
Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings
CVPR 2021
Enriching Source Style Transfer in Recognition-Synthesis Based Non-Parallel Voice Conversion
Interspeech 2021
Enrollment-Less Training for Personalized Voice Activity Detection
Interspeech 2021
Ensemble ALBERT and RoBERTa for Span Prediction in Question Answering
ACL 2021
Ensemble Fine-tuned mBERT for Translation Quality Estimation
EMNLP 2021
Ensembling of Distilled Models from Multi-task Teachers for Constrained Resource Language Pairs
EMNLP 2021
Ensembling With Deep Generative Views
CVPR 2021
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering
ACL 2021
Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection
SemEval 2021
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain
NAACL 2021
Entity-level Cross-modal Learning Improves Multi-modal Machine Translation
EMNLP 2021
Entropy-Guided Control Improvisation
RSS 2021
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation
ICCV 2021
Environment Generation for Zero-Shot Compositional Reinforcement Learning
NeurIPS 2021
Environment Inference for Invariant Learning
ICML 2021
Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments
ICCV 2021
Epsilon Best Arm Identification in Spectral Bandits
IJCAI 2021
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection
CVPR 2021
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
NeurIPS 2021