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 Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information
ACML 2024
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics
IJCAI 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
NeurIPS 2024
Are You Serious? Handling Disagreement When Annotating Conspiracy Theory Texts
EACL 2024
Are You Sure? Rank Them Again: Repeated Ranking For Better Preference Datasets
EMNLP 2024
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
CVPR 2024
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques
ACL 2024
Argument Relation Classification through Discourse Markers and Adversarial Training
EMNLP 2024
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews
ACL 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
AAAI 2024
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling
ACL 2024
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs
EMNLP 2024
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
ICLR 2024
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble Based Sample Selection
WACV 2024
ARNIQA: Learning Distortion Manifold for Image Quality Assessment
WACV 2024
AR-NLU: A Framework for Enhancing Natural Language Understanding Model Robustness against ASR Errors
Interspeech 2024
Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls
IJCAI 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NeurIPS 2024
Articulatory synthesis using representations learnt through phonetic label-aware contrastive loss
Interspeech 2024
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
ACL 2024
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning
NeurIPS 2024
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
ACL 2024
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models
EMNLP 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data
NeurIPS 2024