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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)

Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints AAAI 2022 Towards Active Vision for Action Localization With Reactive Control and Predictive Learning WACV 2022 Towards Adversarially Robust Deep Image Denoising IJCAI 2022 Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples ACL 2022 Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise AISTATS 2022 Towards an Understanding of Default Policies in Multitask Policy Optimization AISTATS 2022 Towards a Progression-Aware Autonomous Dialogue Agent NAACL 2022 Towards a Rigorous Evaluation of Time-Series Anomaly Detection AAAI 2022 Towards a Robust Differentiable Architecture Search Under Label Noise WACV 2022 Towards a Standardised Performance Evaluation Protocol for Cooperative MARL NeurIPS 2022 Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees NeurIPS 2022 Towards a Unified Multi-Dimensional Evaluator for Text Generation EMNLP 2022 Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs EMNLP 2022 Towards Automated Dialog Personalization using MBTI Personality Indicators Interspeech 2022 Towards Automating the Generation of Human-Robot Interaction Scenarios AAAI 2022 Towards Better Document-level Relation Extraction via Iterative Inference EMNLP 2022 Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector CVPR 2022 Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning ICLR 2022 Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence CVPR 2022 Towards Building A Group-based Unsupervised Representation Disentanglement Framework ICLR 2022 Towards Building ASR Systems for the Next Billion Users AAAI 2022 Towards Compositional Generalization in Code Search EMNLP 2022 Towards Computationally Feasible Deep Active Learning NAACL 2022 Towards Consistency in Adversarial Classification NeurIPS 2022 Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base IJCAI 2022