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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 FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES ICLR 2020 A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks AAAI 2020 A Free-Energy Principle for Representation Learning ICML 2020 A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification EMNLP 2020 A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses NeurIPS 2020 A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling NeurIPS 2020 A GAN-based Tunable Image Compression System WACV 2020 Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020 A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation AACL 2020 A General Method for Robust Learning from Batches NeurIPS 2020 A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation WACV 2020 A Generative Model for Joint Natural Language Understanding and Generation ACL 2020 A Geometric Approach to Archetypal Analysis via Sparse Projections ICML 2020 A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples COLING 2020 Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder IJCAI 2020 A Girl Has A Name: Detecting Authorship Obfuscation ACL 2020 A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction ACL 2020 A Graph to Graphs Framework for Retrosynthesis Prediction ICML 2020 Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space NeurIPS 2020 A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality MIDL 2020 A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection AAAI 2020 A Hybrid System for NLPTEA-2020 CGED Shared Task AACL 2020 AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models JMLR 2020 AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining IJCAI 2020 A Joint Framework for Audio Tagging and Weakly Supervised Acoustic Event Detection Using DenseNet with Global Average Pooling Interspeech 2020