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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)

HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions AAAI 2021 HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders AAAI 2021 House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects CVPR 2021 How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NeurIPS 2021 How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021 How Does Mixup Help With Robustness and Generalization? ICLR 2021 How Do We Move: Modeling Human Movement with System Dynamics AAAI 2021 How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ACL 2021 How Good (really) are Grammatical Error Correction Systems? EACL 2021 How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction ACL 2021 How Length Prediction Influence the Performance of Non-Autoregressive Translation? EMNLP 2021 How many data points is a prompt worth? NAACL 2021 How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks EMNLP 2021 How Might We Create Better Benchmarks for Speech Recognition? ACL 2021 How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI EMNLP 2021 How RL Agents Behave When Their Actions Are Modified AAAI 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021 How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NeurIPS 2021 How to Adapt Your Pretrained Multilingual Model to 1600 Languages ACL 2021 How To Exploit the Transferability of Learned Image Compression to Conventional Codecs CVPR 2021 How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision ICLR 2021 How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021 How to leverage the multimodal EHR data for better medical prediction? EMNLP 2021 How to Make a BLT Sandwich? Learning VQA Towards Understanding Web Instructional Videos WACV 2021