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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)

A Unified View of Label Shift Estimation NeurIPS 2020 Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020 AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020 Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition Interspeech 2020 Autofocused oracles for model-based design NeurIPS 2020 Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis AAAI 2020 Automated Scoring of Clinical Expressive Language Evaluation Tasks ACL 2020 Automatically Discovering and Learning New Visual Categories with Ranking Statistics ICLR 2020 Automatic Detection of Generated Text is Easiest when Humans are Fooled ACL 2020 Automatic detection of unexpected/erroneous collocations in learner corpus COLING 2020 Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature EMNLP 2020 Automatic Extraction of Rules Governing Morphological Agreement EMNLP 2020 Automatic Fact-Guided Sentence Modification AAAI 2020 Automatic Scoring at Multi-Granularity for L2 Pronunciation Interspeech 2020 Automatic Shortcut Removal for Self-Supervised Representation Learning ICML 2020 AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts EMNLP 2020 Autoregressive Affective Language Forecasting: A Self-Supervised Task COLING 2020 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020 Auxiliary Task Reweighting for Minimum-data Learning NeurIPS 2020 Auxiliary Tasks Speed Up Learning Point Goal Navigation CoRL 2020 A Variational Approach for Learning from Positive and Unlabeled Data NeurIPS 2020 A Variational Perturbative Approach to Planning in Graph-Based Markov Decision Processes AAAI 2020 A Variational Point Process Model for Social Event Sequences AAAI 2020 AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses AAAI 2020 AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos RSS 2020