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Found 26 papers, 8 papers with code
A Multimodal Simultaneous Interpretation Prototype: Who Said What
“Who said what” is essential for users to understand video streams that have more than one speaker, but conventional simultaneous interpretation systems merely present “what was said” in the form of subtitles.
Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task
And their experiments show that leveraging the answer summaries helps to attend the essential information in original lengthy answers and improve the answer selection performance under certain circumstances.
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection
To better balance correction and detection, we introduce a detection-guided self-supervised loss to reduce feature discrepancies between the two tasks, thereby enhancing detection robustness to varying nonuniformity levels.
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection
To better balance correction and detection, we introduce a detection-guided self-supervised loss to reduce feature discrepancies between the two tasks, thereby enhancing detection robustness to varying nonuniformity levels.
SCINet: Spatial and Contrast Interactive Super-Resolution Assisted Infrared UAV Target Detection
Besides, the output features of the CEB are aggregated into those of the SEB for further supplementing the contrast of spatial features in return.
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference
Several cost-effective solutions leverage host memory or SSDs to reduce storage costs for offline inference scenarios and improve the throughput.
Characterization of Large Language Model Development in the Datacenter
Large Language Models (LLMs) have presented impressive performance across several transformative tasks.
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
One prevalent method to address one-shot MIS is joint registration and segmentation (JRS) with a shared encoder which mainly explores the voxel-wise correspondence between the labeled data and unlabeled data for better segmentation.
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision
Deep learning (DL) shows its prosperity in a wide variety of fields.
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions
Deformable image registration plays a critical role in various tasks of medical image analysis.
Exploring General Intelligence of Program Analysis for Multiple Tasks
To this end, we explore a generic program embedding approach that aim at solving multiple program analysis tasks.
GRAPHSPY: Fused Program Semantic-Level Embedding via Graph Neural Networks for Dead Store Detection
To this end, we propose a learning-aided approach to identify unnecessary memory operations intelligently with low overhead.
CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++
This paper presents an open-source enforcement learning toolkit named CytonRL (https://github. com/arthurxlw/cytonRL).
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
This paper presents an open-source neural machine translation toolkit named CytonMT (https://github. com/arthurxlw/cytonMt).
A Prototype Automatic Simultaneous Interpretation System
Simultaneous interpretation allows people to communicate spontaneously across language boundaries, but such services are prohibitively expensive for the general public.
An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation
Simultaneous interpretation is a very challenging application of machine translation in which the input is a stream of words from a speech recognition engine.
