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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)

Unsupervised Sound Separation Using Mixture Invariant Training NeurIPS 2020 Unsupervised Speech Decomposition via Triple Information Bottleneck ICML 2020 Unsupervised stance detection for arguments from consequences EMNLP 2020 Unsupervised Subword Modeling Using Autoregressive Pretraining and Cross-Lingual Phone-Aware Modeling Interspeech 2020 Unsupervised Text Generation by Learning from Search NeurIPS 2020 Unsupervised Text Style Transfer with Padded Masked Language Models EMNLP 2020 Unsupervised Training of Siamese Networks for Speaker Verification Interspeech 2020 Unsupervised Transfer Learning for Spatiotemporal Predictive Networks ICML 2020 Unsupervised Translation of Programming Languages NeurIPS 2020 Unsupervised Vehicle Re-identification with Progressive Adaptation IJCAI 2020 Unsupervised vs. Transfer Learning for Multimodal One-Shot Matching of Speech and Images Interspeech 2020 Unsupervised Writer Adaptation for Synthetic-to-Real Handwritten Word Recognition WACV 2020 UNSW System Description for the Shared Task on Automatic Speech Recognition for Non-Native Children’s Speech Interspeech 2020 UPB at SemEval-2020 Task 8: Joint Textual and Visual Modeling in a Multi-Task Learning Architecture for Memotion Analysis SemEval 2020 UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication MLHC 2020 Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding AAAI 2020 Using Cyclic Noise as the Source Signal for Neural Source-Filter-Based Speech Waveform Model Interspeech 2020 Using Multiple Subwords to Improve English-Esperanto Automated Literary Translation Quality AACL 2020 Using noise to probe recurrent neural network structure and prune synapses NeurIPS 2020 Using PRMSE to evaluate automated scoring systems in the presence of label noise ACL 2020 Using the Past Knowledge to Improve Sentiment Classification EMNLP 2020 USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation ACL 2020 UTFPR at SemEval-2020 Task 7: Using Co-occurrence Frequencies to Capture Unexpectedness SemEval 2020 Utility is in the Eye of the User: A Critique of NLP Leaderboards EMNLP 2020 Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020