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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)

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components ICLR 2021 Representation Learning From Videos In-the-Wild: An Object-Centric Approach WACV 2021 Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems Interspeech 2021 Representation Learning via Global Temporal Alignment and Cycle-Consistency CVPR 2021 Representation Learning via Invariant Causal Mechanisms ICLR 2021 Representation Learning With Statistical Independence to Mitigate Bias WACV 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 Representing the Unification of Text Featurization using a Context-Free Grammar AAAI 2021 RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy ACL 2021 Repurposing GANs for One-Shot Semantic Part Segmentation CVPR 2021 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning ICLR 2021 Re-ranking for image retrieval and transductive few-shot classification NeurIPS 2021 Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021 Reset-Free Lifelong Learning with Skill-Space Planning ICLR 2021 Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks IJCAI 2021 Residual Energy-Based Models for End-to-End Speech Recognition Interspeech 2021 Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping MIDL 2021 Residual Relaxation for Multi-view Representation Learning NeurIPS 2021 Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition AAAI 2021 ReSkin: versatile, replaceable, lasting tactile skins CoRL 2021 Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021 ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations EACL 2021 ReSSL: Relational Self-Supervised Learning with Weak Augmentation NeurIPS 2021 Restore From Restored: Video Restoration With Pseudo Clean Video CVPR 2021 Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain EMNLP 2021