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)
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
NeurIPS 2023
Addressing Cold Start Problem for End-to-end Automatic Speech Scoring
Interspeech 2023
Addressing Negative Transfer in Diffusion Models
NeurIPS 2023
Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs
EMNLP 2023
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
ICLR 2023
Addressing the Length Bias Challenge in Document-Level Neural Machine Translation
EMNLP 2023
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
IJCAI 2023
A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing
EMNLP 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
NeurIPS 2023
A Definition of Continual Reinforcement Learning
NeurIPS 2023
ADEPT: A DEbiasing PrompT Framework
AAAI 2023
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
EMNLP 2023
A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction
IJCAI 2023
A Diffusion Weighted Graph Framework for New Intent Discovery
EMNLP 2023
Adjustment and Alignment for Unbiased Open Set Domain Adaptation
CVPR 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing
EMNLP 2023
AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark
Interspeech 2023
A Dual Attention-based Modality-Collaborative Fusion Network for Emotion Recognition
Interspeech 2023
Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation
AAAI 2023
Advances in Language Recognition in Low Resource African Languages: The JHU-MIT Submission for NIST LRE22
Interspeech 2023
Advancing Deep Metric Learning With Adversarial Robustness
ACML 2023
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training
ICCV 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
ICLR 2023
AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models
ICCV 2023