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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)

Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework CVPR 2022 Use-Case-Grounded Simulations for Explanation Evaluation NeurIPS 2022 User-Driven Research of Medical Note Generation Software NAACL 2022 UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis NAACL 2022 Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems JMLR 2022 Using Cross-Lingual Part of Speech Tagging for Partially Reconstructing the Classic Language Family Tree Model ACL 2022 Using cross-model learnings for the Gram Vaani ASR Challenge 2022 Interspeech 2022 Using Data Augmentation and Consistency Regularization to Improve Semi-supervised Speech Recognition Interspeech 2022 Using Embeddings for Causal Estimation of Peer Influence in Social Networks NeurIPS 2022 Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection COLING 2022 Using natural language and program abstractions to instill human inductive biases in machines NeurIPS 2022 Using Natural Sentence Prompts for Understanding Biases in Language Models NAACL 2022 Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models AAAI 2022 Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract) AAAI 2022 Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees AAAI 2022 Using time-series privileged information for provably efficient learning of prediction models AISTATS 2022 Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy EMNLP 2022 UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog CVPR 2022 Utilizing Cross-Modal Contrastive Learning to Improve Item Categorization BERT Model ACL 2022 Utilizing Expert Features for Contrastive Learning of Time-Series Representations ICML 2022 Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment EMNLP 2022 Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset EMNLP 2022 UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022 Interspeech 2022 Utterance-by-utterance overlap-aware neural diarization with Graph-PIT Interspeech 2022 VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022