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)
A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models
AISTATS 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
NeurIPS 2021
A Theory of Independent Mechanisms for Extrapolation in Generative Models
AAAI 2021
A Theory of Label Propagation for Subpopulation Shift
ICML 2021
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
AISTATS 2021
A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
EMNLP 2021
A Three-step Method for Multi-Hop Inference Explanation Regeneration
NAACL 2021
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation
CVPR 2021
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms
EMNLP 2021
Attentional Constellation Nets for Few-Shot Learning
ICLR 2021
Attention-based Contrastive Learning for Winograd Schemas
EMNLP 2021
Attention-Based Cross-Modal Fusion for Audio-Visual Voice Activity Detection in Musical Video Streams
Interspeech 2021
AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions
EMNLP 2021
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
ICCV 2021
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
CVPR 2021
Attentive Neural Point Processes for Event Forecasting
AAAI 2021
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance
ALT 2021
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
AAAI 2021
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
AAAI 2021
A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions
ACML 2021
Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders
ICCV 2021
Audio-Visual Information Fusion Using Cross-Modal Teacher-Student Learning for Voice Activity Detection in Realistic Environments
Interspeech 2021
Audio-Visual Instance Discrimination with Cross-Modal Agreement
CVPR 2021
Audio-Visual Recognition of Emotional Engagement of People with Dementia
Interspeech 2021
Audiovisual Transfer Learning for Audio Tagging and Sound Event Detection
Interspeech 2021