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08/30/2023
Breaking the Interference and Fading Gridlock in Backscatter Communications: State-of-the-Art, Design Challenges, and Future Directions
With the rapid advancement of the Internet of Things (IoT) and mobile co...
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07/27/2023
Scaling TransNormer to 175 Billion Parameters
We present TransNormerLLM, the first linear attention-based Large Langua...
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05/08/2023
Toeplitz Neural Network for Sequence Modeling
Sequence modeling has important applications in natural language process...
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02/19/2023
Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory Systems
Multi-tiered large memory systems call for rethinking of memory profilin...
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10/17/2022
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a very...
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03/25/2022
Compare learning: bi-attention network for few-shot learning
Learning with few labeled data is a key challenge for visual recognition...
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03/24/2022
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Precise congestion prediction from a placement solution plays a crucial ...
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03/21/2021
Cross-Dataset Collaborative Learning for Semantic Segmentation
Recent work attempts to improve semantic segmentation performance by exp...
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07/20/2018
