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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)

DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog AAAI 2020 DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020 DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization CVPR 2020 Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment AAAI 2020 Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding ACL 2020 Document Level NMT of Low-Resource Languages with Backtranslation EMNLP 2020 Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation ACL 2020 Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think! EMNLP 2020 Does Speech Enhancement of Publicly Available Data Help Build Robust Speech Recognition Systems? (Student Abstract) AAAI 2020 Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution EMNLP 2020 Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP 2020 Doing Something we Never could with Spoken Language Technologies-from early days to the era of deep learning Interspeech 2020 Domain Adaptation for Image Dehazing CVPR 2020 Domain Adaptive Attention Learning for Unsupervised Person Re-Identification AAAI 2020 Domain Adaptive Image-to-Image Translation CVPR 2020 Domain Adversarial Neural Networks for Dysarthric Speech Recognition Interspeech 2020 Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning CVPR 2020 Domain Balancing: Face Recognition on Long-Tailed Domains CVPR 2020 Domain Conditioned Adaptation Network AAAI 2020 Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation CVPR 2020 Domain Generalization Using a Mixture of Multiple Latent Domains AAAI 2020 Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction EMNLP 2020 DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis EMNLP 2020 Do Neural Language Models Show Preferences for Syntactic Formalisms? ACL 2020 Don't Hit Me! Glass Detection in Real-World Scenes CVPR 2020