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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)

Practical Adversarial Multivalid Conformal Prediction NeurIPS 2022 Practical Benefits of Feature Feedback Under Distribution Shift EMNLP 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack CVPR 2022 Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments NeurIPS 2022 PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning ACL 2022 Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation EMNLP 2022 Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation AAAI 2022 Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution NeurIPS 2022 Predicting Difficulty and Discrimination of Natural Language Questions ACL 2022 Predicting Emotional Intensity in Political Debates via Non-verbal Signals Interspeech 2022 Predicting label distribution improves non-intrusive speech quality estimation Interspeech 2022 Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data NAACL 2022 Predicting Prerequisite Relations for Unseen Concepts EMNLP 2022 Predicting scalar diversity with context-driven uncertainty over alternatives ACL 2022 Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure ACL 2022 Prediction Difference Regularization against Perturbation for Neural Machine Translation ACL 2022 Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022 Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks AAAI 2022 Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes AISTATS 2022 Preparing High School Teachers to Integrate AI Methods into STEM Classrooms AAAI 2022 Prepositions Matter in Quantifier Scope Disambiguation COLING 2022 Preservation of the Global Knowledge by Not-True Distillation in Federated Learning NeurIPS 2022 Pre-trained Adversarial Perturbations NeurIPS 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NeurIPS 2022 Pre-trained language models evaluating themselves - A comparative study ACL 2022