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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)

IQDet: Instance-Wise Quality Distribution Sampling for Object Detection CVPR 2021 IronMask: Modular Architecture for Protecting Deep Face Template CVPR 2021 Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability EMNLP 2021 Is Domain Adaptation Worth Your Investment? Comparing BERT and FinBERT on Financial Tasks EMNLP 2021 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study ICLR 2021 IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021 Is Sparse Attention more Interpretable? ACL 2021 IST-Unbabel 2021 Submission for the Quality Estimation Shared Task EMNLP 2021 Iterative Amortized Policy Optimization NeurIPS 2021 “I’ve Seen Things You People Wouldn’t Believe”: Hallucinating Entities in GuessWhat?! ACL 2021 Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning EMNLP 2021 Jigsaw Clustering for Unsupervised Visual Representation Learning CVPR 2021 Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification AAAI 2021 Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI CVPR 2021 Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation CVPR 2021 Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification CVPR 2021 Joint inference and input optimization in equilibrium networks NeurIPS 2021 Joint-Label Learning by Dual Augmentation for Time Series Classification AAAI 2021 Joint Learning of 3D Shape Retrieval and Deformation CVPR 2021 Joint Models for Answer Verification in Question Answering Systems ACL 2021 Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection EMNLP 2021 Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification CVPR 2021 Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards AAAI 2021 Joint Semantic-geometric Learning for Polygonal Building Segmentation AAAI 2021 Jo-SRC: A Contrastive Approach for Combating Noisy Labels CVPR 2021