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09/03/2023
Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction
The correction of exposure-related issues is a pivotal component in enha...
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09/03/2023
Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception
Due to the uneven scattering and absorption of different light wavelengt...
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09/02/2023
Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction
Photographs taken with less-than-ideal exposure settings often display p...
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08/14/2023
Approximating Human-Like Few-shot Learning with GPT-based Compression
In this work, we conceptualize the learning process as information compr...
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08/02/2023
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond
Underwater images suffer from light refraction and absorption, which imp...
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07/31/2023
Multi-Spectral Image Stitching via Spatial Graph Reasoning
Multi-spectral image stitching leverages the complementarity between inf...
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05/29/2023
Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining
Rain streaks significantly decrease the visibility of captured images an...
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04/12/2023
Modality-Invariant Representation for Infrared and Visible Image Registration
Since the differences in viewing range, resolution and relative position...
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12/19/2022
Less is More: Parameter-Free Text Classification with Gzip
Deep neural networks (DNNs) are often used for text classification tasks...
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10/10/2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Large-scale diffusion neural networks represent a substantial milestone ...
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07/31/2022
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers
There exists a wide variety of efficiency methods for natural language p...
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06/23/2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Most real-world problems that machine learning algorithms are expected t...
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02/25/2021
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
The ability to perform arithmetic tasks is a remarkable trait of human i...
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12/27/2020
Inserting Information Bottlenecks for Attribution in Transformers
Pretrained transformers achieve the state of the art across tasks in nat...
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03/14/2020
Document Ranking with a Pretrained Sequence-to-Sequence Model
This work proposes a novel adaptation of a pretrained sequence-to-sequen...
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01/23/2020
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation
Citation recommendation systems for the scientific literature, to help a...
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05/20/2019
PaperRobot: Incremental Draft Generation of Scientific Ideas
We present a PaperRobot who performs as an automatic research assistant ...
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09/06/2018
Describing a Knowledge Base
We aim to automatically generate natural language descriptions about an ...
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09/06/2018
Narrating a Knowledge Base
We aim to automatically generate natural language narratives about an in...
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11/18/2017