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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'20
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Papers (including subtopics)
Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization
CVPR 2024
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
ICLR 2024
Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
NeurIPS 2024
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
WACV 2024
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
CVPR 2024
realSEUDO for real-time calcium imaging analysis
NeurIPS 2024
Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination
CVPR 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
NeurIPS 2024
Real-Time Selection Under General Constraints via Predictive Inference
NeurIPS 2024
Real-Time Weakly Supervised Video Anomaly Detection
WACV 2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
EMNLP 2024
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
NeurIPS 2024
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora
EMNLP 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
EMNLP 2024
Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding
NAACL 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance
ACL 2024
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs
EMNLP 2024
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
EMNLP 2024
Reasons to Reject? Aligning Language Models with Judgments
ACL 2024
Reassess Summary Factual Inconsistency Detection with Large Language Model
ACL 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NeurIPS 2024
Rebalancing Label Distribution While Eliminating Inherent Waiting Time in Multi Label Active Learning Applied to Transformers
COLING 2024
ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use
IJCAI 2024
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
ICLR 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
NeurIPS 2024