Computer Science, Computer Vision and Pattern Recognition
Month: October 2023
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Computer Science, Information Retrieval
Causal Debiasing in Pre-trained Recommender Systems
Computer Science, Computer Vision and Pattern Recognition
RayDF: Efficient Neural Radiance Fields for Dense 3D Reconstruction
Computer Science, Computer Vision and Pattern Recognition
Enhancing Image Generation with Domain Adaptation via Hybrid Domain Adaptor
Computer Science, Machine Learning
Reducing Swap Regret in Online Classification with External-Regret Minimization
Computation and Language, Computer Science
Adaptive Language Modeling for Real-time Transcription: A Case Study
Computation and Language, Computer Science
The impact of responding to patient messages with large language model assistance.
Computation and Language, Computer Science
DP-Prompt: Private Document Paraphrasing via Differentially Private Text Generation
High Energy Physics - Phenomenology, Physics
Simplifying PELICAN: A Single Hidden Layer Neural Network for Top Tagging
Computer Science, Human-Computer Interaction
Empowering Creators: Balancing AI’s Paraphrasing Abilities and Original Text
Computer Science, Information Theory
Unlocking the Power of Array Antennas: A Performance Analysis of Channel Models
Computer Science, Computer Vision and Pattern Recognition
Semantic Rendering with Deep Accident Detection: A Comprehensive Study
Computation and Language, Computer Science
New Frontiers in Summarization: Evaluating and Improving Abstractive Summary Generation with LLMs
Computer Science, Computer Vision and Pattern Recognition
Unlocking Latent Spaces for Robust Image Manipulation
Computer Science, Machine Learning
Simplifying Healthcare Data with Age and Weight Segmentation: A Balancing Act
Computer Science, Computer Vision and Pattern Recognition
Personalizing Text-to-Image Generation with Context-Independent Rewriting
Computation and Language, Computer Science
In-Context Learning vs. Weight Shifting: A Comparison of Approaches to Softmax Regression
Computer Science, Machine Learning
Learning Interpretable Decision Functions via Multi-Task Contextual Policy Recovery
Computer Science, Machine Learning
Deep Reinforcement Learning: A Comprehensive Understanding of Temporal-Difference Methods
Computer Science, Machine Learning