b'Zeynep Akata'

research

∙ 05/27/2023

USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution

Dense regression is a widely used approach in computer vision for tasks ...

0 Vikrant Rangnekar, et al. ∙

research

∙ 05/24/2023

In-Context Impersonation Reveals Large Language Models' Strengths and Biases

In everyday conversations, humans can take on different roles and adapt ...

0 Leonard Salewski, et al. ∙

research

∙ 05/22/2023

If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection

Despite their impressive capabilities, diffusion-based text-to-image (T2...

0 Shyamgopal Karthik, et al. ∙

research

∙ 05/22/2023

Meta-in-context learning in large language models

Large language models have shown tremendous performance in a variety of ...

0 Julian Coda-Forno, et al. ∙

research

∙ 04/21/2023

Inducing anxiety in large language models increases exploration and bias

Large language models are transforming research on machine learning whil...

0 Julian Coda-Forno, et al. ∙

research

∙ 04/06/2023

Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval

Cross-modal retrieval methods are the preferred tool to search databases...

0 Jae Myung Kim, et al. ∙

research

∙ 04/04/2023

Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification

Due to the expensive costs of collecting labels in multi-label classific...

0 Youngwook Kim, et al. ∙

research

∙ 02/21/2023

Posterior Annealing: Fast Calibrated Uncertainty for Regression

Bayesian deep learning approaches that allow uncertainty estimation for ...

0 Uddeshya Upadhyay, et al. ∙

research

∙ 12/15/2022

Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation

For best performance, today's semantic segmentation methods use large an...

0 Anurag Das, et al. ∙

research

∙ 11/23/2022

Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment

Recent advances have indicated the strengths of self-supervised pre-trai...

0 Yuchen Ma, et al. ∙

research

∙ 11/06/2022

Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning

Large pre-trained, zero-shot capable models have shown considerable succ...

0 Zafir Stojanovski, et al. ∙

research

∙ 10/25/2022

PlanT: Explainable Planning Transformers via Object-Level Representations

Planning an optimal route in a complex environment requires efficient re...

0 Katrin Renz, et al. ∙

research

∙ 10/19/2022

Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval

Representation learning for sketch-based image retrieval has mostly been...

3 Abhra Chaudhuri, et al. ∙

research

∙ 10/13/2022

Disentanglement of Correlated Factors via Hausdorff Factorized Support

A grand goal in deep learning research is to learn representations capab...

35 Karsten Roth, et al. ∙

research

∙ 10/05/2022

Relational Proxies: Emergent Relationships as Fine-Grained Discriminators

Fine-grained categories that largely share the same set of parts cannot ...

4 Abhra Chaudhuri, et al. ∙

research

∙ 09/06/2022

Semantic Image Synthesis with Semantically Coupled VQ-Model

Semantic image synthesis enables control over unconditional image genera...

3 Stephan Alaniz, et al. ∙

research

∙ 08/24/2022

Semi-Supervised and Unsupervised Deep Visual Learning: A Survey

State-of-the-art deep learning models are often trained with a large amo...

9 Yanbei Chen, et al. ∙

research

∙ 07/27/2022

Abstracting Sketches through Simple Primitives

Humans show high-level of abstraction capabilities in games that require...

4 Stephan Alaniz, et al. ∙

research

∙ 07/20/2022

Temporal and cross-modal attention for audio-visual zero-shot learning

Audio-visual generalised zero-shot learning for video classification req...

5 Otniel-Bogdan Mercea, et al. ∙

research

∙ 07/14/2022

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

High-quality calibrated uncertainty estimates are crucial for numerous r...

0 Uddeshya Upadhyay, et al. ∙

research

∙ 07/08/2022

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning

Proxy-based Deep Metric Learning (DML) learns deep representations by em...

0 Michael Kirchhof, et al. ∙

research

∙ 06/15/2022

The Manifold Hypothesis for Gradient-Based Explanations

When do gradient-based explanation algorithms provide meaningful explana...

24 Sebastian Bordt, et al. ∙

research

∙ 06/13/2022

Compositional Mixture Representations for Vision and Text

Learning a common representation space between vision and language allow...

24 Stephan Alaniz, et al. ∙

research

∙ 06/08/2022

Large Loss Matters in Weakly Supervised Multi-Label Classification

Weakly supervised multi-label classification (WSML) task, which is to le...

0 Youngwook Kim, et al. ∙

research

∙ 05/13/2022

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

The goal of open-world compositional zero-shot learning (OW-CZSL) is to ...

3 Shyamgopal Karthik, et al. ∙

research

∙ 04/27/2022

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization

Generalizing visual recognition models trained on a single distribution ...

6 İlke Çuğu, et al. ∙

research

∙ 04/12/2022

Probabilistic Compositional Embeddings for Multimodal Image Retrieval

Existing works in image retrieval often consider retrieving images with ...

13 Andrei Neculai, et al. ∙

research

∙ 04/05/2022

CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations

Providing explanations in the context of Visual Question Answering (VQA)...

21 Leonard Salewski, et al. ∙

research

∙ 04/04/2022

Attribute Prototype Network for Any-Shot Learning

Any-shot image classification allows to recognize novel classes with onl...

9 Wenjia Xu, et al. ∙

research

∙ 03/20/2022

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning

Human-annotated attributes serve as powerful semantic embeddings in zero...

5 Wenjia Xu, et al. ∙

research

∙ 03/16/2022

Non-isotropy Regularization for Proxy-based Deep Metric Learning

Deep Metric Learning (DML) aims to learn representation spaces on which ...

17 Karsten Roth, et al. ∙

research

∙ 03/16/2022

Integrating Language Guidance into Vision-based Deep Metric Learning

Deep Metric Learning (DML) proposes to learn metric spaces which encode ...

9 Karsten Roth, et al. ∙

research

∙ 03/07/2022

Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language

Learning to classify video data from classes not included in the trainin...

7 Otniel-Bogdan Mercea, et al. ∙

research

∙ 01/17/2022

BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR

The efficacy of zero-shot sketch-based image retrieval (ZS-SBIR) models ...

1 Ushasi Chaudhuri, et al. ∙

research

∙ 12/17/2021

Audio Retrieval with Natural Language Queries: A Benchmark Study

The objectives of this work are cross-modal text-audio and audio-text re...

0 A. Sophia Koepke, et al. ∙

research

∙ 11/02/2021

Human Attention in Fine-grained Classification

The way humans attend to, process and classify a given image has the pot...

7 Yao Rong, et al. ∙

research

∙ 10/24/2021

Robustness via Uncertainty-aware Cycle Consistency

Unpaired image-to-image translation refers to learning inter-image-domai...

9 Uddeshya Upadhyay, et al. ∙

research

∙ 10/18/2021

Conditional De-Identification of 3D Magnetic Resonance Images

Privacy protection of medical image data is challenging. Even if metadat...

7 Lennart Alexander Van der Goten, et al. ∙

research

∙ 09/29/2021

Fine-Grained Zero-Shot Learning with DNA as Side Information

Fine-grained zero-shot learning task requires some form of side-informat...

0 Sarkhan Badirli, et al. ∙

research

∙ 08/19/2021

Concurrent Discrimination and Alignment for Self-Supervised Feature Learning

Existing self-supervised learning methods learn representation by means ...

18 Anjan Dutta, et al. ∙

research

∙ 06/29/2021

Uncertainty-Guided Progressive GANs for Medical Image Translation

Image-to-image translation plays a vital role in tackling various medica...

24 Uddeshya Upadhyay, et al. ∙

research

∙ 06/15/2021

Keep CALM and Improve Visual Feature Attribution

The class activation mapping, or CAM, has been the cornerstone of featur...

2 Jae Myung Kim, et al. ∙

research

∙ 05/08/2021

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

Recently, an increasing number of works have introduced models capable o...

4 Maxime Kayser, et al. ∙

research

∙ 05/05/2021

Audio Retrieval with Natural Language Queries

We consider the task of retrieving audio using free-form natural languag...

0 Andreea-Maria Oncescu, et al. ∙

research

∙ 05/04/2021

Where and When: Space-Time Attention for Audio-Visual Explanations

Explaining the decision of a multi-modal decision-maker requires to dete...

10 Yanbei Chen, et al. ∙

research

∙ 05/03/2021

Learning Graph Embeddings for Open World Compositional Zero-Shot Learning

Compositional Zero-Shot learning (CZSL) aims to recognize unseen composi...

17 Massimiliano Mancini, et al. ∙

research

∙ 04/22/2021

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

Having access to multi-modal cues (e.g. vision and audio) empowers some ...

8 Yanbei Chen, et al. ∙

research

∙ 04/21/2021

A Closer Look at Self-training for Zero-Label Semantic Segmentation

Being able to segment unseen classes not observed during training is an ...

11 Giuseppe Pastore, et al. ∙

research

∙ 02/23/2021

Uncertainty-aware Generalized Adaptive CycleGAN

Unpaired image-to-image translation refers to learning inter-image-domai...

22 Uddeshya Upadhyay, et al. ∙

research

∙ 02/03/2021

Learning Graph Embeddings for Compositional Zero-shot Learning

In compositional zero-shot learning, the goal is to recognize unseen com...

14 Muhammad Ferjad Naeem, et al. ∙

Zeynep Akata

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