Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
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'25
Papers (including subtopics)
Retrieval-augmented generation in multilingual settings
ACL 2024
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
EMNLP 2024
Retrieval-Augmented Knowledge Integration into Language Models: A Survey
ACL 2024
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
CVPR 2024
Retrieval-enriched zero-shot image classification in low-resource domains
EMNLP 2024
Retrieval Evaluation for Long-Form and Knowledge-Intensive Image–Text Article Composition
EMNLP 2024
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
ACL 2024
Retrieval Robust to Object Motion Blur
ECCV 2024
Retrieved In-Context Principles from Previous Mistakes
EMNLP 2024
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
EMNLP 2024
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison
NAACL 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation
EMNLP 2024
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic
EMNLP 2024
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
ACL 2024
Reusing Transferable Weight Increments for Low-resource Style Generation
EMNLP 2024
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data
NeurIPS 2024
Reverse-Engineering the Reader
EMNLP 2024
Review-Enhanced Hierarchical Contrastive Learning for Recommendation
AAAI 2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors
AAAI 2024
Revisiting Adversarial Training at Scale
CVPR 2024
Revisiting Counterfactual Problems in Referring Expression Comprehension
CVPR 2024
Revisiting Data Augmentation in Deep Reinforcement Learning
ICLR 2024
Revisiting Demonstration Selection Strategies in In-Context Learning
ACL 2024
Revisiting Ensembling in One-Shot Federated Learning
NeurIPS 2024
Revisiting Interpolation Augmentation for Speech-to-Text Generation
ACL 2024