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)
ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation
SemEval 2024
ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision
WACV 2024
Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation
ACML 2024
Clustering Items From Adaptively Collected Inconsistent Feedback
AISTATS 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
NeurIPS 2024
Cluster-Norm for Unsupervised Probing of Knowledge
EMNLP 2024
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
AAAI 2024
CMD: a framework for Context-aware Model self-Detoxification
EMNLP 2024
CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset
ACL 2024
CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
IJCAI 2024
CM-Off-Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge
COLING 2024
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
ACL 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models
EMNLP 2024
CMU’s IWSLT 2024 Simultaneous Speech Translation System
ACL 2024
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
NeurIPS 2024
CNC-Net: Self-Supervised Learning for CNC Machining Operations
CVPR 2024
CNN Kernels Can Be the Best Shapelets
ICLR 2024
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite
COLING 2024
Coactive Learning for Large Language Models using Implicit User Feedback
ICML 2024
COALA: A Practical and Vision-Centric Federated Learning Platform
ICML 2024
Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract)
AAAI 2024
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
CVPR 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
EMNLP 2024
CoBIT: A Contrastive Bi-directional Image-Text Generation Model
ICLR 2024
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
ACL 2024