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08/13/2023
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
Generative Language Models (GLMs) have shown impressive performance in t...
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06/11/2023
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization
Conventional solvers are often computationally expensive for constrained...
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04/26/2023
PROBE3.0: A Systematic Framework for Design-Technology Pathfinding with Improved Design Enablement
We propose a systematic framework to conduct design-technology pathfindi...
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03/07/2023
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding
The main challenge in vision-and-language navigation (VLN) is how to und...
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02/23/2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
Pre-trained Transformer models such as BERT have shown great success in ...
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11/20/2022
Understanding and Improving Knowledge Distillation for Quantization-Aware Training of Large Transformer Encoders
Knowledge distillation (KD) has been a ubiquitous method for model compr...
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10/05/2022
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption
Embeddings, which compress information in raw text into semantics-preser...
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05/06/2022
Collective Relevance Labeling for Passage Retrieval
Deep learning for Information Retrieval (IR) requires a large amount of ...
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02/21/2022
Vision-based Autonomous Driving for Unstructured Environments Using Imitation Learning
Unstructured environments are difficult for autonomous driving. This is ...
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01/10/2022
Continuous-Curvature Target Tree Algorithm for Path Planning in Complex Parking Environments
Rapidly-exploring random tree (RRT) has been applied for autonomous park...
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12/03/2021
NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference
Non-linear operations such as GELU, Layer normalization, and Softmax are...
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09/16/2021
SEACOW: Synopsis Embedded Array Compression using Wavelet Transform
Recently, multidimensional data is produced in various domains; because ...
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07/02/2021
Deep learning-based statistical noise reduction for multidimensional spectral data
In spectroscopic experiments, data acquisition in multi-dimensional phas...
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03/01/2021
A 3D model-based approach for fitting masks to faces in the wild
Face recognition research now requires a large number of labelled masked...
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12/21/2016
A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology
We present a unified framework to predict tumor proliferation scores fro...
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07/04/2016