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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)

Dynamic Memory based Attention Network for Sequential Recommendation AAAI 2021 Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales CVPR 2021 Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction CVPR 2021 Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering AAAI 2021 Dynamic Popularity-Aware Contrastive Learning for Recommendation ACML 2021 Dynamic Position-aware Network for Fine-grained Image Recognition AAAI 2021 Dynamic Terminology Integration for COVID-19 and Other Emerging Domains EMNLP 2021 Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder AAAI 2021 Dynamic Transfer for Multi-Source Domain Adaptation CVPR 2021 Dynamic Weighted Learning for Unsupervised Domain Adaptation CVPR 2021 DynaVSR: Dynamic Adaptive Blind Video Super-Resolution WACV 2021 DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ACL 2021 DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping CVPR 2021 E2E-Based Multi-Task Learning Approach to Joint Speech and Accent Recognition Interspeech 2021 E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning ACL 2021 EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition AAAI 2021 Ecco: An Open Source Library for the Explainability of Transformer Language Models ACL 2021 EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract) AAAI 2021 ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps ICCV 2021 EDGAR-CORPUS: Billions of Tokens Make The World Go Round EMNLP 2021 EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT EMNLP 2021 Editing Factual Knowledge in Language Models EMNLP 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021 Effectiveness of Pre-training for Few-shot Intent Classification EMNLP 2021 Effective Sequence-to-Sequence Dialogue State Tracking EMNLP 2021