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11/19/2022
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Dataset distillation methods aim to compress a large dataset into a smal...
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11/01/2022
Preserving In-Context Learning ability in Large Language Model Fine-tuning
Pretrained large language models (LLMs) are strong in-context learners t...
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07/20/2022
DC-BENCH: Dataset Condensation Benchmark
Dataset Condensation is a newly emerging technique aiming at learning a ...
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10/19/2020
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers
Many optimizers have been proposed for training deep neural networks, an...
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01/14/2020
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders
It has been of increasing interest in the field to develop automatic mac...
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10/30/2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
In this paper, we proposed a general framework for data poisoning attack...
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06/10/2019
Robustness Verification of Tree-based Models
We study the robustness verification problem for tree-based models, incl...
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06/05/2019
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
Neural Ordinary Differential Equation (Neural ODE) has been proposed as ...
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05/20/2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Graph convolutional network (GCN) has been successfully applied to many ...
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11/27/2018
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network
The concept of conditional computation for deep nets has been proposed p...
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10/29/2018
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks
Neural language models have been widely used in various NLP tasks, inclu...
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10/23/2018
Area Attention
Existing attention mechanisms, are mostly item-based in that a model is ...
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06/18/2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking
Model compression is essential for serving large deep neural nets on dev...
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02/21/2018
Nonlinear Online Learning with Adaptive Nyström Approximation
Use of nonlinear feature maps via kernel approximation has led to succes...
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06/26/2017
GPU-acceleration for Large-scale Tree Boosting
In this paper, we present a novel massively parallel algorithm for accel...
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08/05/2016
