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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'10
'15
'20
'25
Papers (including subtopics)
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation
ACL 2023
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution
AAAI 2023
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
NeurIPS 2023
Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration
CVPR 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
CoRL 2023
AutoRecon: Automated 3D Object Discovery and Reconstruction
CVPR 2023
Autoregressive Diffusion Model for Graph Generation
ICML 2023
Auto Search Indexer for End-to-End Document Retrieval
EMNLP 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning
AAAI 2023
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
ICLR 2023
Auto-Weighted Multi-View Clustering for Large-Scale Data
AAAI 2023
Auxiliary Learning as an Asymmetric Bargaining Game
ICML 2023
Auxiliary Losses for Learning Generalizable Concept-based Models
NeurIPS 2023
Avalanche: A PyTorch Library for Deep Continual Learning
JMLR 2023
Average Token Delay: A Latency Metric for Simultaneous Translation
Interspeech 2023
AVFormer: Injecting Vision Into Frozen Speech Models for Zero-Shot AV-ASR
CVPR 2023
Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance
WACV 2023
AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation
ACL 2023
A Weakly Supervised Classifier and Dataset of White Supremacist Language
ACL 2023
A Weakly-Supervised Learning Approach to the Identification of “Alternative Lexicalizations” in Shallow Discourse Parsing
ACL 2023
A weakly supervised textual entailment approach to zero-shot text classification
EACL 2023
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
CVPR 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
EMNLP 2023
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Interspeech 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
CVPR 2023