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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)

Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020 This is a BERT. Now there are several of them. Can they generalize to novel words? EMNLP 2020 “This is Houston. Say again, please”. The Behavox System for the Apollo-11 Fearless Steps Challenge (Phase II) Interspeech 2020 Thompson Sampling for Linearly Constrained Bandits AISTATS 2020 Thompson Sampling for Unsupervised Sequential Selection ACML 2020 Thompson Sampling via Local Uncertainty ICML 2020 Through Fog High-Resolution Imaging Using Millimeter Wave Radar CVPR 2020 THUEE System for NIST SRE19 CTS Challenge Interspeech 2020 ThunderGBM: Fast GBDTs and Random Forests on GPUs JMLR 2020 TICO-19: the Translation Initiative for COvid-19 EMNLP 2020 Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits NeurIPS 2020 Tight Lower Bounds for Combinatorial Multi-Armed Bandits COLT 2020 Time-Consistent Self-Supervision for Semi-Supervised Learning ICML 2020 Time Flies: Animating a Still Image With Time-Lapse Video As Reference CVPR 2020 Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network NeurIPS 2020 TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020 AACL 2020 TMUOU Submission for WMT20 Quality Estimation Shared Task EMNLP 2020 TNT: Text Normalization based Pre-training of Transformers for Content Moderation EMNLP 2020 To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer AAAI 2020 To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging EMNLP 2020 TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020 ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction COLING 2020 Token Drop mechanism for Neural Machine Translation COLING 2020 Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion CoRL 2020 Tone Learning in Low-Resource Bilingual TTS Interspeech 2020