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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)

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition CVPR 2020 Curriculum Learning for Natural Language Understanding ACL 2020 Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey JMLR 2020 Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020 CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features EMNLP 2020 Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer COLING 2020 Cycle-Contrast for Self-Supervised Video Representation Learning NeurIPS 2020 CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion Interspeech 2020 Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling Interspeech 2020 DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory AACL 2020 Dark Experience for General Continual Learning: a Strong, Simple Baseline NeurIPS 2020 DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool COLING 2020 DaST: Data-Free Substitute Training for Adversarial Attacks CVPR 2020 Data and Representation for Turkish Natural Language Inference EMNLP 2020 Data Augmentation via Subtree Swapping for Dependency Parsing of Low-Resource Languages COLING 2020 Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation EMNLP 2020 Data-Driven Market-Making via Model-Free Learning IJCAI 2020 Data-Efficient Image Recognition with Contrastive Predictive Coding ICML 2020 Data-Efficient Semi-Supervised Learning by Reliable Edge Mining CVPR 2020 Data Efficient Voice Cloning from Noisy Samples with Domain Adversarial Training Interspeech 2020 Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN CVPR 2020 Dataless Model Selection With the Deep Frame Potential CVPR 2020 Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings IJCAI 2020 DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks EMNLP 2020 Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation EMNLP 2020