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
'5
'10
'15
'20
'25
Papers (including subtopics)
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox
NeurIPS 2024
Rethinking the Evaluation Protocol of Domain Generalization
CVPR 2024
Rethinking the Multimodal Correlation of Multimodal Sequential Learning via Generalizable Attentional Results Alignment
ACL 2024
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
AAAI 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
NeurIPS 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
CVPR 2024
Rethinking the Role of Proxy Rewards in Language Model Alignment
EMNLP 2024
Rethinking the Uniformity Metric in Self-Supervised Learning
ICLR 2024
Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point
AAAI 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
NeurIPS 2024
Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility
COLING 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft
EMNLP 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
NeurIPS 2024
Retrieval-Augmented Egocentric Video Captioning
CVPR 2024
Retrieval-Augmented Embodied Agents
CVPR 2024
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
ACL 2024
Retrieval Augmented Generation in Prompt-based Text-to-Speech Synthesis with Context-Aware Contrastive Language-Audio Pretraining
Interspeech 2024
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
CVPR 2024
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
AAAI 2024
Retrieval Augmented Spelling Correction for E-Commerce Applications
EMNLP 2024
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
ICLR 2024
Retrieval-Enhanced Contrastive Vision-Text Models
ICLR 2024
Retrieval-enriched zero-shot image classification in low-resource domains
EMNLP 2024
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
ACL 2024
Retrieved In-Context Principles from Previous Mistakes
EMNLP 2024