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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)

Disentangling Writer and Character Styles for Handwriting Generation CVPR 2023 Disfluency Generation for More Robust Dialogue Systems ACL 2023 Disfluent Cues for Enhanced Speech Understanding in Large Language Models EMNLP 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023 DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media ACL 2023 Disparate Impact in Differential Privacy from Gradient Misalignment ICLR 2023 Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis ACL 2023 Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline ACL 2023 Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs ACL 2023 Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble AAAI 2023 DistillCSE: Distilled Contrastive Learning for Sentence Embeddings EMNLP 2023 Distilling Calibrated Knowledge for Stance Detection ACL 2023 Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition CVPR 2023 Distilling Efficient Language-Specific Models for Cross-Lingual Transfer ACL 2023 Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection CVPR 2023 Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks ACML 2023 Distilling Internet-Scale Vision-Language Models into Embodied Agents ICML 2023 Distilling Model Failures as Directions in Latent Space ICLR 2023 Distilling Neural Fields for Real-Time Articulated Shape Reconstruction CVPR 2023 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NeurIPS 2023 Distilling Reasoning Capabilities into Smaller Language Models ACL 2023 Distilling Script Knowledge from Large Language Models for Constrained Language Planning ACL 2023 Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes ACL 2023 Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models ACL 2023