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)
Smoothed Analysis of Online and Differentially Private Learning
NeurIPS 2020
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
WACV 2020
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification
CVPR 2020
Smooth markets: A basic mechanism for organizing gradient-based learners
ICLR 2020
Smoothness and Stability in GANs
ICLR 2020
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation
AAAI 2020
Social and Functional Pressures in Vocal Alignment: Differences for Human and Voice-AI Interlocutors
Interspeech 2020
Social Influence Does Matter: User Action Prediction for In-Feed Advertising
AAAI 2020
Soft Contrastive Learning for Visual Localization
NeurIPS 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity
ICML 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
AISTATS 2020
Solving Jigsaw Puzzles With Eroded Boundaries
CVPR 2020
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval
CVPR 2020
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
AAAI 2020
Some Languages Seem Easier to Parse Because Their Treebanks Leak
EMNLP 2020
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks
CVPR 2020
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification
CVPR 2020
Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning
Interspeech 2020
Sound-Image Grounding Based Focusing Mechanism for Efficient Automatic Spoken Language Acquisition
Interspeech 2020
Sources of Transfer in Multilingual Named Entity Recognition
ACL 2020
Space-Time Correspondence as a Contrastive Random Walk
NeurIPS 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
ICLR 2020
Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models
AAAI 2020
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction
ACL 2020
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
CVPR 2020