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)
Reward Modeling Requires Automatic Adjustment Based on Data Quality
EMNLP 2024
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
AAAI 2024
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
AAAI 2024
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
ACL 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
NeurIPS 2024
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks
AAAI 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
NeurIPS 2024
Rich Human Feedback for Text-to-Image Generation
CVPR 2024
RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches
SemEval 2024
Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract)
AAAI 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
ACL 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
AAAI 2024
Risk Measures and Upper Probabilities: Coherence and Stratification
JMLR 2024
Risk-sensitive control as inference with Rényi divergence
NeurIPS 2024
RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving
AAAI 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
NeurIPS 2024
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
EMNLP 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
NeurIPS 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
NeurIPS 2024
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing
AAAI 2024
R-MAE: Regions Meet Masked Autoencoders
ICLR 2024
RMFER: Semi-Supervised Contrastive Learning for Facial Expression Recognition With Reaction Mashup Video
WACV 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
NeurIPS 2024
Robust Active Measuring under Model Uncertainty
AAAI 2024
Robust AI-Generated Text Detection by Restricted Embeddings
EMNLP 2024