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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective NeurIPS 2021 One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks AISTATS 2021 On Episodes, Prototypical Networks, and Few-Shot Learning NeurIPS 2021 One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning NSDI 2021 On Equivariant and Invariant Learning of Object Landmark Representations ICCV 2021 One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing CVPR 2021 One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation CVPR 2021 On Feature Decorrelation in Self-Supervised Learning ICCV 2021 On Feature Normalization and Data Augmentation CVPR 2021 On Generalization in Coreference Resolution EMNLP 2021 On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning AAAI 2021 On InstaHide, Phase Retrieval, and Sparse Matrix Factorization ICLR 2021 ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021 On Large-Cohort Training for Federated Learning NeurIPS 2021 On Learning the Geodesic Path for Incremental Learning CVPR 2021 On Learning Universal Representations Across Languages ICLR 2021 Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021 On Linear Identifiability of Learned Representations ICML 2021 Online Class-Incremental Continual Learning with Adversarial Shapley Value AAAI 2021 Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network IJCAI 2021 Online Graph Dictionary Learning ICML 2021 Online Learning Of Neural Computations From Sparse Temporal Feedback NeurIPS 2021 Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021 Online Meta-Learning via Learning with Layer-Distributed Memory NeurIPS 2021