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)
Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification
Interspeech 2023
Expert Data Augmentation in Imitation Learning (Student Abstract)
AAAI 2023
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
ICML 2023
Explainability-Aware One Point Attack for Point Cloud Neural Networks
WACV 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective
ICCV 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
ICML 2023
Explain-then-translate: an analysis on improving program translation with self-generated explanations
EMNLP 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
ACL 2023
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs
ACL 2023
Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting
EMNLP 2023
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
CVPR 2023
Explicit Intensity Control for Accented Text-to-speech
Interspeech 2023
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction
EMNLP 2023
Exploiting Cross-Domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition
Interspeech 2023
Exploiting Diversity of Automatic Transcripts from Distinct Speech Recognition Techniques for Children’s Speech
Interspeech 2023
Exploiting Emotion Information in Speaker Embeddings for Expressive Text-to-Speech
Interspeech 2023
Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition
ACL 2023
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract)
AAAI 2023
Exploiting Inferential Structure in Neural Processes
UAI 2023
Exploiting Instance-Based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-Adaptive Action Detection
WACV 2023
Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis
ACL 2023
Exploiting Visual Context Semantics for Sound Source Localization
WACV 2023
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
AISTATS 2023
Exploration in Reward Machines with Low Regret
AISTATS 2023
Exploration of Contrastive Learning Strategies toward more Robust Stance Detection
ACL 2023