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)
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
ICLR 2024
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks
AAAI 2024
Towards interfacing large language models with ASR systems using confidence measures and prompting
Interspeech 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
AAAI 2024
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
CVPR 2024
Towards Learning a Generalist Model for Embodied Navigation
CVPR 2024
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
ICLR 2024
Towards Making Learnware Specification and Market Evolvable
AAAI 2024
Towards Minimax Optimality of Model-based Robust Reinforcement Learning
UAI 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction
AAAI 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
AAAI 2024
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
EMNLP 2024
Towards More Unified In-context Visual Understanding
CVPR 2024
Towards Multi-Domain Learning for Generalizable Video Anomaly Detection
NeurIPS 2024
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport
AAAI 2024
Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation
ACL 2024
Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline
Interspeech 2024
Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models
Interspeech 2024
Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level
ACL 2024
Towards One-to-Many Visual Question Answering
EMNLP 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
NeurIPS 2024
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
NeurIPS 2024
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
ICLR 2024
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout
EMNLP 2024