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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)

Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios EMNLP 2022 Hardness of Learning a Single Neuron with Adversarial Label Noise AISTATS 2022 HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images AAAI 2022 Harmonizing the object recognition strategies of deep neural networks with humans NeurIPS 2022 Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations CVPR 2022 Harvest – a System for Creating Structured Rate Filing Data from Filing PDFs AAAI 2022 Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification ACML 2022 hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ACL 2022 Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features EMNLP 2022 HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold EMNLP 2022 HCSC: Hierarchical Contrastive Selective Coding CVPR 2022 HDNet: High-Resolution Dual-Domain Learning for Spectral Compressive Imaging CVPR 2022 HEGEL: Hypergraph Transformer for Long Document Summarization EMNLP 2022 Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators EMNLP 2022 HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations ACL 2022 Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers AAAI 2022 Heterogeneous Skill Learning for Multi-agent Tasks NeurIPS 2022 Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks AAAI 2022 HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction ACL 2022 Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning EMNLP 2022 Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization AAAI 2022 Hierarchical Image Generation via Transformer-Based Sequential Patch Selection AAAI 2022 Hierarchical Inductive Transfer for Continual Dialogue Learning ACL 2022 Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction AAAI 2022 Hierarchical Proxy-Based Loss for Deep Metric Learning WACV 2022