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)
RAFT: Realistic Attacks to Fool Text Detectors
EMNLP 2024
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance
EMNLP 2024
RAG-Fusion Based Information Retrieval for Fact-Checking
EMNLP 2024
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
ACL 2024
Raidar: geneRative AI Detection viA Rewriting
ICLR 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
NeurIPS 2024
RAIN: Your Language Models Can Align Themselves without Finetuning
ICLR 2024
RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness
NeurIPS 2024
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
NeurIPS 2024
Random Entangled Tokens for Adversarially Robust Vision Transformer
CVPR 2024
Random Forest Weighted Local Fréchet Regression with Random Objects
JMLR 2024
Randomized Adversarial Style Perturbations for Domain Generalization
WACV 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
NeurIPS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
NeurIPS 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
NeurIPS 2024
Randomized Strategic Facility Location with Predictions
NeurIPS 2024
Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems
EMNLP 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
ICML 2024
Random Walks for Temporal Action Segmentation With Timestamp Supervision
WACV 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations
NeurIPS 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
IJCAI 2024
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
CVPR 2024
Ranking Large Language Models without Ground Truth
ACL 2024
Ranking Manipulation for Conversational Search Engines
EMNLP 2024