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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory AAAI 2022 Toward Understanding Privileged Features Distillation in Learning-to-Rank NeurIPS 2022 Toward Unifying Text Segmentation and Long Document Summarization EMNLP 2022 To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. COLING 2022 Trace norm regularization for multi-task learning with scarce data COLT 2022 Tracking COVID-19 protest events in the United States. Shared Task 2: Event Database Replication, CASE 2022 EMNLP 2022 Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract) AAAI 2022 Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding NeurIPS 2022 Tracking Most Significant Arm Switches in Bandits COLT 2022 Tracking Satisfaction States for Customer Satisfaction Prediction in E-commerce Service Chatbots COLING 2022 Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach IJCAI 2022 Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders NeurIPS 2022 Trading-Off Information Modalities in Zero-Shot Classification WACV 2022 Trading Off Resource Budgets For Improved Regret Bounds NeurIPS 2022 Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models JMLR 2022 Training and Inference on Any-Order Autoregressive Models the Right Way NeurIPS 2022 Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models Interspeech 2022 Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data ACL 2022 Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU EMNLP 2022 Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation CVPR 2022 Training OOD Detectors in their Natural Habitats ICML 2022 Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022 Training speaker recognition systems with limited data Interspeech 2022 Training Spiking Neural Networks with Local Tandem Learning NeurIPS 2022 Training Subset Selection for Weak Supervision NeurIPS 2022