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)
Reinforcement Learning from Diverse Human Preferences
IJCAI 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
NeurIPS 2024
Reinforcement Learning Guided Semi-Supervised Learning
NeurIPS 2024
Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems
NeurIPS 2024
Reinforcement Learning with Lookahead Information
NeurIPS 2024
Reinforcement Learning with Token-level Feedback for Controllable Text Generation
NAACL 2024
REInstruct: Building Instruction Data from Unlabeled Corpus
ACL 2024
Rejuvenating image-GPT as Strong Visual Representation Learners
ICML 2024
Relational Distant Supervision for Image Captioning without Image-Text Pairs
AAAI 2024
Relational Matching for Weakly Semi-Supervised Oriented Object Detection
CVPR 2024
Relational Programming with Foundational Models
AAAI 2024
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
NeurIPS 2024
Relative Policy-Transition Optimization for Fast Policy Transfer
AAAI 2024
Relaxed Contrastive Learning for Federated Learning
CVPR 2024
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects
AAAI 2024
Releasing the Capacity of GANs in Non-Autoregressive Image Captioning
COLING 2024
Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers
NAACL 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
EMNLP 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers
IJCAI 2024
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
CVPR 2024
Reliable Conflictive Multi-View Learning
AAAI 2024
Reliable Data Generation and Selection for Low-Resource Relation Extraction
AAAI 2024
Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems
EACL 2024
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
NeurIPS 2024
ReMasker: Imputing Tabular Data with Masked Autoencoding
ICLR 2024