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)
Domain Adaptation with Joint Loss for Consistent Regression and Ordinal Classification in the Proxy Means Test for Poverty Targeting
IJCAI 2024
Domain adapted machine translation: What does catastrophic forgetting forget and why?
EMNLP 2024
Domain Adaptive 3D Shape Retrieval From Monocular Images
WACV 2024
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
IJCAI 2024
Domain-Agnostic Molecular Generation with Chemical Feedback
ICLR 2024
Domain Aligned CLIP for Few-Shot Classification
WACV 2024
Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction
COLING 2024
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
AAAI 2024
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
NeurIPS 2024
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis
COLING 2024
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
IJCAI 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
AAAI 2024
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For Unsupervised QA Domain Adaptation
ACL 2024
Domain Prompt Learning with Quaternion Networks
CVPR 2024
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation
CVPR 2024
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation
CVPR 2024
Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets
EACL 2024
Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data
ACL 2024
Don’t be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks
NAACL 2024
Don’t Be Pessimistic Too Early: Look K Steps Ahead!
AISTATS 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
EACL 2024
Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models
ACL 2024
Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
CVPR 2024
Don’t forget private retrieval: distributed private similarity search for large language models
ACL 2024
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration
EMNLP 2024