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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)

Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog AAAI 2020 LIMIT-BERT : Linguistics Informed Multi-Task BERT EMNLP 2020 LIMSI @ WMT 2020 EMNLP 2020 Linear Antisymmetric Recurrent Neural Networks L4DC 2020 Linear Bandits with Feature Feedback AAAI 2020 Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation EMNLP 2020 Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets EMNLP 2020 Lin: Unsupervised Extraction of Tasks from Textual Communication COLING 2020 Lipschitz and Comparator-Norm Adaptivity in Online Learning COLT 2020 Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing NeurIPS 2020 Lipschitz-Certifiable Training with a Tight Outer Bound NeurIPS 2020 List-Decodable Mean Estimation via Iterative Multi-Filtering NeurIPS 2020 List Decodable Subspace Recovery COLT 2020 Listening to Sounds of Silence for Speech Denoising NeurIPS 2020 Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract) AAAI 2020 Lite Training Strategies for Portuguese-English and English-Portuguese Translation EMNLP 2020 LNMap: Departures from Isomorphic Assumption in Bilingual Lexicon Induction Through Non-Linear Mapping in Latent Space EMNLP 2020 Local Additivity Based Data Augmentation for Semi-supervised NER EMNLP 2020 Locality and Compositionality in Zero-Shot Learning ICLR 2020 Localized Learning of Robust Controllers for Networked Systems with Dynamic Topology L4DC 2020 Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation EMNLP 2020 Locally Differentially Private (Contextual) Bandits Learning NeurIPS 2020 Local Regularizer Improves Generalization AAAI 2020 LoCo: Local Contrastive Representation Learning NeurIPS 2020 Logic2Text: High-Fidelity Natural Language Generation from Logical Forms EMNLP 2020