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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)

Progressive Deep Multi-View Comprehensive Representation Learning AAAI 2023 Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis CVPR 2023 Progressive Ensemble Distillation: Building Ensembles for Efficient Inference NeurIPS 2023 Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation AAAI 2023 Progressive Multi-View Human Mesh Recovery with Self-Supervision AAAI 2023 Progressive Neighbor Consistency Mining for Correspondence Pruning CVPR 2023 Progressive Neighborhood Aggregation for Semantic Segmentation Refinement AAAI 2023 Progressive Transformation Learning for Leveraging Virtual Images in Training CVPR 2023 Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences ACL 2023 ProKD: An Unsupervised Prototypical Knowledge Distillation Network for Zero-Resource Cross-Lingual Named Entity Recognition AAAI 2023 Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph EMNLP 2023 PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection EMNLP 2023 Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners AAAI 2023 Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition EMNLP 2023 PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery CVPR 2023 Prompted Opinion Summarization with GPT-3.5 ACL 2023 Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks ACL 2023 Prompt-Guided Zero-Shot Anomaly Action Recognition Using Pretrained Deep Skeleton Features CVPR 2023 Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge EMNLP 2023 Prompting PaLM for Translation: Assessing Strategies and Performance ACL 2023 Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization Interspeech 2023 PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation EMNLP 2023 PromptNER: Prompt Locating and Typing for Named Entity Recognition ACL 2023 PronScribe: Highly Accurate Multimodal Phonemic Transcription From Speech and Text Interspeech 2023 Propagating Knowledge Updates to LMs Through Distillation NeurIPS 2023