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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)

Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ACL 2021 Defense-Friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty WACV 2021 Defocus Map Estimation and Deblurring From a Single Dual-Pixel Image ICCV 2021 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021 DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation AAAI 2021 DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues EMNLP 2021 Delving into Data: Effectively Substitute Training for Black-box Attack CVPR 2021 Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity IJCAI 2021 Democratizing Constraint Satisfaction Problems through Machine Learning AAAI 2021 Demonstrating the Reliability of Self-Annotated Emotion Data NAACL 2021 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021 Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021 Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning ACL 2021 Denoise and Contrast for Category Agnostic Shape Completion CVPR 2021 Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model AAAI 2021 Denoising Word Embeddings by Averaging in a Shared Space ACL 2021 Dense Contrastive Learning for Self-Supervised Visual Pre-Training CVPR 2021 Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021 Dense Keypoints via Multiview Supervision NeurIPS 2021 Densely connected normalizing flows NeurIPS 2021 Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection CVPR 2021 DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation AAAI 2021 Dense Unsupervised Learning for Video Segmentation NeurIPS 2021 Density of States Estimation for Out of Distribution Detection AISTATS 2021 Dependency Induction Through the Lens of Visual Perception CoNLL 2021