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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)

Robust Disentanglement of a Few Factors at a Time using rPU-VAE NeurIPS 2020 Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces WACV 2020 Robust Learning Through Cross-Task Consistency CVPR 2020 Robust Multi-View Representation Learning (Student Abstract) AAAI 2020 Robust Named Entity Recognition with Truecasing Pretraining AAAI 2020 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020 Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Robustness to Modification with Shared Words in Paraphrase Identification EMNLP 2020 Robustness to Programmable String Transformations via Augmented Abstract Training ICML 2020 Robust Neural Machine Translation with ASR Errors ACL 2020 Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NeurIPS 2020 Robust Pre-Training by Adversarial Contrastive Learning NeurIPS 2020 Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations Interspeech 2020 Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution CVPR 2020 Robust Superpixel-Guided Attentional Adversarial Attack CVPR 2020 ROSS: Robust Learning of One-shot 3D Shape Segmentation WACV 2020 Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images CVPR 2020 Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020 Rotation Equivariant Graph Convolutional Network for Spherical Image Classification CVPR 2020 Routing Enforced Generative Model for Recipe Generation EMNLP 2020 RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation WACV 2020 RPM-Net: Robust Point Matching Using Learned Features CVPR 2020 RTFM: Generalising to New Environment Dynamics via Reading ICLR 2020 Rule-Guided Compositional Representation Learning on Knowledge Graphs AAAI 2020