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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)

Model Selection in Contextual Stochastic Bandit Problems NeurIPS 2020 Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020 Momentum in Reinforcement Learning AISTATS 2020 Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline EMNLP 2020 Monolingual Adapters for Zero-Shot Neural Machine Translation EMNLP 2020 Monolingual Data Selection Analysis for English-Mandarin Hybrid Code-Switching Speech Recognition Interspeech 2020 Monte-Carlo Graph Search: the Value of Merging Similar States ACML 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 More Bang for Your Buck: Natural Perturbation for Robust Question Answering EMNLP 2020 More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models ICML 2020 More Diverse Dialogue Datasets via Diversity-Informed Data Collection ACL 2020 MOSS: End-to-End Dialog System Framework with Modular Supervision AAAI 2020 Most ReLU Networks Suffer from ℓ^2 Adversarial Perturbations NeurIPS 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product IJCAI 2020 MRI Banding Removal via Adversarial Training NeurIPS 2020 MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing CoNLL 2020 MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models COLING 2020 MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020 MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert AAAI 2020 MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation IJCAI 2020 Multi-Agent Actor-Critic with Hierarchical Graph Attention Network AAAI 2020 Multi-Agent Determinantal Q-Learning ICML 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract) AAAI 2020