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)
CountGD: Multi-Modal Open-World Counting
NeurIPS 2024
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild
AAAI 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
AAAI 2024
Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model
NeurIPS 2024
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
AISTATS 2024
Covariate Shift Corrected Conditional Randomization Test
NeurIPS 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
AAAI 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
EMNLP 2024
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
ICML 2024
CoVR: Learning Composed Video Retrieval from Web Video Captions
AAAI 2024
cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
NeurIPS 2024
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment
CVPR 2024
CPR: Retrieval Augmented Generation for Copyright Protection
CVPR 2024
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs
EMNLP 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
AAAI 2024
CreakVC: a voice conversion tool for modulating creaky voice
Interspeech 2024
Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation
NAACL 2024
Creative and Context-Aware Translation of East Asian Idioms with GPT-4
EMNLP 2024
Credal Deep Ensembles for Uncertainty Quantification
NeurIPS 2024
Credal Learning Theory
NeurIPS 2024
Credit Attribution and Stable Compression
NeurIPS 2024
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
ICLR 2024
Crisis counselor language and perceived genuine concern in crisis conversations
EMNLP 2024
Critical Gap Between Generalization Error and Empirical Error in Active Learning
WACV 2024
Critical Learning Periods Emerge Even in Deep Linear Networks
ICLR 2024