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)
Revisiting Character-level Adversarial Attacks for Language Models
ICML 2024
Revisiting Counterfactual Problems in Referring Expression Comprehension
CVPR 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
ICLR 2024
Revisiting Demonstration Selection Strategies in In-Context Learning
ACL 2024
Revisiting Ensembling in One-Shot Federated Learning
NeurIPS 2024
Revisiting Few-Shot Object Detection with Vision-Language Models
NeurIPS 2024
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum
AAAI 2024
Revisiting motion information for RGB-Event tracking with MOT philosophy
NeurIPS 2024
Revisiting Multimodal Transformers for Tabular Data with Text Fields
ACL 2024
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
IJCAI 2024
Revisiting Open-Set Panoptic Segmentation
AAAI 2024
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers
ACL 2024
Revisiting Pixel-Level Contrastive Pre-Training on Scene Images
WACV 2024
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
ICLR 2024
Revisiting Query Variation Robustness of Transformer Models
EMNLP 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
NeurIPS 2024
Revisiting Supervised Contrastive Learning for Microblog Classification
EMNLP 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
CVPR 2024
Revisiting the Power of Prompt for Visual Tuning
ICML 2024
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
NAACL 2024
Revisit Self-supervision with Local Structure-from-Motion
ECCV 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
NeurIPS 2024
RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification
Interspeech 2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue
EMNLP 2024
Reward (Mis)design for Autonomous Driving (Abstract Reprint)
AAAI 2024