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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)

Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability AAAI 2022 Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference CVPR 2022 Pushing the Performance Limit of Scene Text Recognizer Without Human Annotation CVPR 2022 Pyramid Adversarial Training Improves ViT Performance CVPR 2022 Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation CVPR 2022 PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining NeurIPS 2022 Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case NeurIPS 2022 QAConv: Question Answering on Informative Conversations ACL 2022 QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation EMNLP 2022 QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization NAACL 2022 Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty ACL 2022 QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance EMNLP 2022 QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation CVPR 2022 QSTS: A Question-Sensitive Text Similarity Measure for Question Generation COLING 2022 Quadric Hypersurface Intersection for Manifold Learning in Feature Space AISTATS 2022 Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition Interspeech 2022 Quality-Aware Decoding for Neural Machine Translation NAACL 2022 Quality Controlled Paraphrase Generation ACL 2022 QuALITY: Question Answering with Long Input Texts, Yes! NAACL 2022 Quantified Reproducibility Assessment of NLP Results ACL 2022 Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022 Quantifying and Learning Linear Symmetry-Based Disentanglement ICML 2022 Quantifying Language Variation Acoustically with Few Resources NAACL 2022 Quantifying Synthesis and Fusion and their Impact on Machine Translation NAACL 2022 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability NeurIPS 2022