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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)

A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps MIDL 2019 A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019 An SVM-Based Framework for Long-Term Learning Systems AAAI 2019 Answer-based Adversarial Training for Generating Clarification Questions NAACL 2019 Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation EMNLP 2019 Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks AAAI 2019 Answering Conversational Questions on Structured Data without Logical Forms EMNLP 2019 Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction ACL 2019 Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension EMNLP 2019 Anti-Spoofing Speaker Verification System with Multi-Feature Integration and Multi-Task Learning Interspeech 2019 An Unsupervised Autoregressive Model for Speech Representation Learning Interspeech 2019 A PAC Framework for Aggregating Agents’ Judgments AAAI 2019 A Perceptual Prediction Framework for Self Supervised Event Segmentation CVPR 2019 A Personalized Sentiment Model with Textual and Contextual Information CoNLL 2019 Apertium-fin-eng–Rule-based Shallow Machine Translation for WMT 2019 Shared Task ACL 2019 APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task ACL 2019 A Pilot Study for Chinese SQL Semantic Parsing EMNLP 2019 Approximate Feature Collisions in Neural Nets NeurIPS 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019 Approximating the Permanent by Sampling from Adaptive Partitions NeurIPS 2019 Approximations of the Restless Bandit Problem JMLR 2019 A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection EMNLP 2019 A Principled Approach for Learning Task Similarity in Multitask Learning IJCAI 2019