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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)

All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes AACL 2020 All in One Bad Weather Removal Using Architectural Search CVPR 2020 All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection Interspeech 2020 Almost Group Envy-free Allocation of Indivisible Goods and Chores IJCAI 2020 ALOHA: Artificial Learning of Human Attributes for Dialogue Agents AAAI 2020 A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints JMLR 2020 A Low Latency ASR-Free End to End Spoken Language Understanding System Interspeech 2020 Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training EMNLP 2020 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020 AmbigQA: Answering Ambiguous Open-domain Questions EMNLP 2020 A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network NeurIPS 2020 A Method for Building a Commonsense Inference Dataset based on Basic Events EMNLP 2020 A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation ACL 2020 A Metric Learning Approach to Misogyny Categorization ACL 2020 AMEX AI-Labs: An Investigative Study on Extractive Summarization of Financial Documents COLING 2020 A Model of Fake Data in Data-driven Analysis JMLR 2020 Amortised Learning by Wake-Sleep ICML 2020 A Multilingual View of Unsupervised Machine Translation EMNLP 2020 A Multi-Objective Approach to Mitigate Negative Side Effects IJCAI 2020 A Multi-Scale Approach for Graph Link Prediction AAAI 2020 A Multi-Space Approach to Zero-Shot Object Detection WACV 2020 A Multitask Active Learning Framework for Natural Language Understanding COLING 2020 A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis EMNLP 2020 A Multi-Task Learning Approach to Sarcasm Detection (Student Abstract) AAAI 2020 A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection CVPR 2020