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07/10/2023
Substance or Style: What Does Your Image Embedding Know?
Probes are small networks that predict properties of underlying data fro...
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04/23/2023
LayerNAS: Neural Architecture Search in Polynomial Complexity
Neural Architecture Search (NAS) has become a popular method for discove...
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10/17/2022
RARR: Researching and Revising What Language Models Say, Using Language Models
Language models (LMs) now excel at many tasks such as few-shot learning,...
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09/04/2022
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation
Medical report generation is a challenging task since it is time-consumi...
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12/14/2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
Designing an effective communication mechanism among agents in reinforce...
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07/06/2021
Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search
Emerging device-based Computing-in-memory (CiM) has been proved to be a ...
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03/01/2021
OmniNet: Omnidirectional Representations from Transformers
This paper proposes Omnidirectional Representations from Transformers (O...
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02/17/2021
Switch Spaces: Learning Product Spaces with Sparse Gating
Learning embedding spaces of suitable geometry is critical for represent...
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12/22/2020
Graph Autoencoders with Deconvolutional Networks
Recent studies have indicated that Graph Convolutional Networks (GCNs) a...
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12/01/2020
Adversarial Robustness Across Representation Spaces
Adversarial robustness corresponds to the susceptibility of deep neural ...
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07/12/2020
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections
Achieving state-of-the-art performance on natural language understanding...
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07/08/2020
Remix: Rebalanced Mixup
Deep image classifiers often perform poorly when training data are heavi...
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07/07/2020
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks
Analog computing hardware has gradually received more attention by the r...
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05/02/2020
Synthesizer: Rethinking Self-Attention in Transformer Models
The dot product self-attention is known to be central and indispensable ...
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05/01/2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Knowledge graph (KG) embeddings learn low-dimensional representations of...
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02/26/2020
Sparse Sinkhorn Attention
We propose Sparse Sinkhorn Attention, a new efficient and sparse method ...
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11/17/2019
Learning with Hierarchical Complement Objective
Label hierarchies widely exist in many vision-related problems, ranging ...
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09/06/2019
Natural Adversarial Sentence Generation with Gradient-based Perturbation
This work proposes a novel algorithm to generate natural language advers...
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03/30/2019
COCO-GAN: Generation by Parts via Conditional Coordinating
Humans can only interact with part of the surrounding environment due to...
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03/23/2019
Improving Adversarial Robustness via Guided Complement Entropy
Model robustness has been an important issue, since adding small adversa...
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03/04/2019
Complement Objective Training
Learning with a primary objective, such as softmax cross entropy for cla...
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11/26/2018
InstaNAS: Instance-aware Neural Architecture Search
Neural Architecture Search (NAS) aims at finding one "single" architectu...
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08/29/2018
Searching Toward Pareto-Optimal Device-Aware Neural Architectures
Recent breakthroughs in Neural Architectural Search (NAS) have achieved ...
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08/22/2018
Escaping from Collapsing Modes in a Constrained Space
Generative adversarial networks (GANs) often suffer from unpredictable m...
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06/27/2018
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Recent studies on neural architecture search have shown that automatical...
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06/21/2018
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures
Recent breakthroughs in Neural Architectural Search (NAS) have achieved ...
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10/15/2017
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks
"How much energy is consumed for an inference made by a convolutional ne...
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08/14/2017