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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)

DS at SemEval-2019 Task 9: From Suggestion Mining with neural networks to adversarial cross-domain classification SemEval 2019 DSINE: Deep Structural Influence Learning via Network Embedding AAAI 2019 DSTC7 Task 1: Noetic End-to-End Response Selection ACL 2019 Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition ACL 2019 Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning NeurIPS 2019 DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NeurIPS 2019 Dual Encoding for Zero-Example Video Retrieval CVPR 2019 Dual Monolingual Cross-Entropy Delta Filtering of Noisy Parallel Data ACL 2019 Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology IJCAI 2019 Dual Semi-Supervised Learning for Facial Action Unit Recognition AAAI 2019 Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning ICCV 2019 Dual Supervised Learning for Natural Language Understanding and Generation ACL 2019 Dual Variational Generation for Low Shot Heterogeneous Face Recognition NeurIPS 2019 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 Dual-View Variational Autoencoders for Semi-Supervised Text Matching IJCAI 2019 Dual Visual Attention Network for Visual Dialog IJCAI 2019 Dueling Bandits with Qualitative Feedback AAAI 2019 DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense ICCV 2019 DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019 Dying Experts: Efficient Algorithms with Optimal Regret Bounds NeurIPS 2019 Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation ACL 2019 Dynamically Visual Disambiguation of Keyword-based Image Search IJCAI 2019 Dynamic Context Correspondence Network for Semantic Alignment ICCV 2019 Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions NeurIPS 2019 Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue AAAI 2019