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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)

What does Neural Bring? Analysing Improvements in Morphosyntactic Annotation and Lemmatisation of Slovenian, Croatian and Serbian ACL 2019 What if We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks AAAI 2019 What is the Effect of Importance Weighting in Deep Learning? ICML 2019 What made you do this? Understanding black-box decisions with sufficient input subsets AISTATS 2019 What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning AAAI 2019 What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019 When can unlabeled data improve the learning rate? COLT 2019 When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019 “When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text NAACL 2019 When to Trust Your Model: Model-Based Policy Optimization NeurIPS 2019 When to use parametric models in reinforcement learning? NeurIPS 2019 Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection CVPR 2019 Whether to Pretrain DNN or not?: An Empirical Analysis for Voice Conversion Interspeech 2019 Which Ones Are Speaking? Speaker-Inferred Model for Multi-Talker Speech Separation Interspeech 2019 Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes CVPR 2019 White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks NAACL 2019 Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks AAAI 2019 Who Needs Words? Lexicon-Free Speech Recognition Interspeech 2019 Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity IJCAI 2019 Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition NeurIPS 2019 Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models ACL 2019 WikiCREM: A Large Unsupervised Corpus for Coreference Resolution EMNLP 2019 Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events ACL 2019 WiRe57 : A Fine-Grained Benchmark for Open Information Extraction ACL 2019 Without lexicons, multiword expression identification will never fly: A position statement ACL 2019