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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)

AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds Interspeech 2023 A Strong Baseline for Generalized Few-Shot Semantic Segmentation CVPR 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023 A Study on Annotation Interfaces for Summary Comparison ACL 2023 A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models ACL 2023 A Study on Transformer Configuration and Training Objective ICML 2023 A Stutter Seldom Comes Alone – Cross-Corpus Stuttering Detection as a Multi-label Problem Interspeech 2023 A Survey of Evaluation Methods of Generated Medical Textual Reports ACL 2023 A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods EACL 2023 A Survey on Asking Clarification Questions Datasets in Conversational Systems ACL 2023 A Survey on Masked Autoencoder for Visual Self-supervised Learning IJCAI 2023 A Survey on Out-of-Distribution Evaluation of Neural NLP Models IJCAI 2023 Aswat: Arabic Audio Dataset for Automatic Speech Recognition Using Speech-Representation Learning EMNLP 2023 AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection CVPR 2023 Asymmetric Student-Teacher Networks for Industrial Anomaly Detection WACV 2023 Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments AISTATS 2023 Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture AISTATS 2023 Asymptotic Instance-Optimal Algorithms for Interactive Decision Making ICLR 2023 Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023 A Synthetic Data Generation Framework for Grounded Dialogues ACL 2023 A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence NeurIPS 2023 A Tale of Two Laws of Semantic Change: Predicting Synonym Changes with Distributional Semantic Models ACL 2023 “A Tale of Two Movements’: Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction EMNLP 2023 ATCON: Attention Consistency for Vision Models WACV 2023 A theoretical study of inductive biases in contrastive learning ICLR 2023