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)
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
NAACL 2024
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
CVPR 2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
CVPR 2024
Exploring Weight Balancing on Long-Tailed Recognition Problem
ICLR 2024
Expressive Whole-Body Control for Humanoid Robots
RSS 2024
ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction
CVPR 2024
Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024
EACL 2024
Extending Multi-modal Contrastive Representations
NeurIPS 2024
Extending Video Masked Autoencoders to 128 frames
NeurIPS 2024
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
CVPR 2024
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
NeurIPS 2024
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
NeurIPS 2024
Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models
EACL 2024
Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising
NAACL 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness
ACL 2024
Extreme Point Supervised Instance Segmentation
CVPR 2024
Extrinsic Evaluation of Cultural Competence in Large Language Models
EMNLP 2024
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
NeurIPS 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
CVPR 2024
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
NeurIPS 2024
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection
ACL 2024
F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation
EMNLP 2024
Face Identity-Aware Disentanglement in StyleGAN
WACV 2024
FaceLift: Semi-supervised 3D Facial Landmark Localization
CVPR 2024
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text
CVPR 2024