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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'20
'25
Papers (including subtopics)
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation
ACL 2020
Towards practical differentially private causal graph discovery
NeurIPS 2020
Towards Preserving the Ephemeral: Texture-Based Background Modelling for Capturing Back-of-the-Napkin Notes
WACV 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent
AAAI 2020
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
CoRL 2020
Towards Robustifying NLI Models Against Lexical Dataset Biases
ACL 2020
Towards Robust Image Classification Using Sequential Attention Models
CVPR 2020
Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided Dialogue Dataset
AAAI 2020
Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning
AAAI 2020
Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals
Interspeech 2020
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning
AAAI 2020
Toward Stance-based Personas for Opinionated Dialogues
EMNLP 2020
Towards Transferable Targeted Attack
CVPR 2020
Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks
ACML 2020
Towards Understanding the Dynamics of the First-Order Adversaries
ICML 2020
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
ICML 2020
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
ACL 2020
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
CVPR 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations
CVPR 2020
Towards Zero-Shot Learning for Automatic Phonemic Transcription
AAAI 2020
Tracking by Instance Detection: A Meta-Learning Approach
CVPR 2020
Tracking Disaster Footprints with Social Streaming Data
AAAI 2020
Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification
AAAI 2020
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
NeurIPS 2020
Trading Plan Cost for Timeliness in Situated Temporal Planning
IJCAI 2020