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)
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
AAAI 2024
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models
ACL 2024
Value-Distributional Model-Based Reinforcement Learning
JMLR 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis
EMNLP 2024
VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation
EMNLP 2024
Variable Importance in High-Dimensional Settings Requires Grouping
AAAI 2024
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
ICLR 2024
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
ICLR 2024
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation
AAAI 2024
Variational Delayed Policy Optimization
NeurIPS 2024
Variational Distillation of Diffusion Policies into Mixture of Experts
NeurIPS 2024
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection
AAAI 2024
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
JMLR 2024
VBench: Comprehensive Benchmark Suite for Video Generative Models
CVPR 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
IJCAI 2024
VCISR: Blind Single Image Super-Resolution With Video Compression Synthetic Data
WACV 2024
V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization
EMNLP 2024
Vec-Tok-VC+: Residual-enhanced Robust Zero-shot Voice Conversion with Progressive Constraints in a Dual-mode Training Strategy
Interspeech 2024
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment
ICML 2024
Vector Quantization Prompting for Continual Learning
NeurIPS 2024
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
EACL 2024
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation
CoRL 2024
VerbCLIP: Improving Verb Understanding in Vision-Language Models with Compositional Structures
ACL 2024
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch
AAAI 2024