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)
Curriculum Temperature for Knowledge Distillation
AAAI 2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
CVPR 2023
Curvature Filtrations for Graph Generative Model Evaluation
NeurIPS 2023
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
CVPR 2023
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation
WACV 2023
Cut your Losses with Squentropy
ICML 2023
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment
CVPR 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
NeurIPS 2023
C-XNLI: Croatian Extension of XNLI Dataset
ACL 2023
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning-Based Synthetic Face Detection
WACV 2023
Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection
ICCV 2023
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts
NeurIPS 2023
D2F2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation
WACV 2023
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
CVPR 2023
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
ICCV 2023
DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer
CVPR 2023
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets
NeurIPS 2023
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition
SemEval 2023
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue
ACL 2023
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning
AAAI 2023
DarSwin: Distortion Aware Radial Swin Transformer
ICCV 2023
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
ICCV 2023
Data Augmentation for Low-Resource Keyphrase Generation
ACL 2023
Data Augmentations for Improved (Large) Language Model Generalization
NeurIPS 2023