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Found 12 papers, 4 papers with code
Towards Generalizable and Robust Text-to-SQL Parsing
Text-to-SQL parsing tackles the problem of mapping natural language questions to executable SQL queries.
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
Lifelong learning (LL) is vital for advanced task-oriented dialogue (ToD) systems.
A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects
However, non-Cartesian trajectories such as the radial trajectory need to be transformed onto a Cartesian grid in each iteration of the network training, slowing down the training process and posing inconvenience and delay during training.
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue
The goal-oriented document-grounded dialogue aims at responding to the user query based on the dialogue context and supporting document.
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance
Spiking Neural Networks (SNNs) are developed as a promising alternative to Artificial Neural networks (ANNs) due to their more realistic brain-inspired computing models.
Spiking Cochlea with System-level Local Automatic Gain Control
The bandpass filter gain of a channel is adapted dynamically to the input amplitude so that the average output spike rate stays within a defined range.
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-Temporal Sparsity
The pruned networks running on Spartus hardware achieve weight sparsity levels of up to 96% and 94% with negligible accuracy loss on the TIMIT and the Librispeech datasets.
Ranking Items in Large-Scale Item Search Engines with Reinforcement Learning
Ranking items in large-scale item search engines such as Amazon and Taobao is a typical multi-step decision-making problem.
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator
Lower leg prostheses could improve the life quality of amputees by increasing comfort and reducing energy to locomote, but currently control methods are limited in modulating behaviors based upon the human's experience.
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference
This paper presents a Gated Recurrent Unit (GRU) based recurrent neural network (RNN) accelerator called EdgeDRNN designed for portable edge computing.
ReCoNet: Real-time Coherent Video Style Transfer Network
Image style transfer models based on convolutional neural networks usually suffer from high temporal inconsistency when applied to videos.
DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and Caricature Modeling
This system has a labor-efficient sketching interface, that allows the user to draw freehand imprecise yet expressive 2D lines representing the contours of facial features.
