Alert button

"Information": models, code, and papers
Alert button

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

May 25, 2023
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, Trevor Darrell

Figure 1 for Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Figure 2 for Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Figure 3 for Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Figure 4 for Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation
Viaarxiv icon

Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts

May 05, 2023
Hao Lang, Yinhe Zheng, Binyuan Hui, Fei Huang, Yongbin Li

Figure 1 for Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
Figure 2 for Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
Figure 3 for Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
Figure 4 for Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
Viaarxiv icon

Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels

May 05, 2023
Sobhan Moosavi, Rajiv Ramnath

Figure 1 for Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels
Figure 2 for Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels
Figure 3 for Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels
Figure 4 for Judge Me in Context: A Telematics-Based Driving Risk Prediction Framework in Presence of Weak Risk Labels
Viaarxiv icon

Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness

May 26, 2023
Min Zhu, Shihang Feng, Youzuo Lin, Lu Lu

Figure 1 for Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Figure 2 for Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Figure 3 for Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Figure 4 for Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Viaarxiv icon

Parameter-Efficient Fine-Tuning without Introducing New Latency

May 26, 2023
Baohao Liao, Yan Meng, Christof Monz

Figure 1 for Parameter-Efficient Fine-Tuning without Introducing New Latency
Figure 2 for Parameter-Efficient Fine-Tuning without Introducing New Latency
Figure 3 for Parameter-Efficient Fine-Tuning without Introducing New Latency
Figure 4 for Parameter-Efficient Fine-Tuning without Introducing New Latency
Viaarxiv icon

Conjunct Resolution in the Face of Verbal Omissions

May 26, 2023
Royi Rassin, Yoav Goldberg, Reut Tsarfaty

Figure 1 for Conjunct Resolution in the Face of Verbal Omissions
Figure 2 for Conjunct Resolution in the Face of Verbal Omissions
Figure 3 for Conjunct Resolution in the Face of Verbal Omissions
Figure 4 for Conjunct Resolution in the Face of Verbal Omissions
Viaarxiv icon

Emergent Agentic Transformer from Chain of Hindsight Experience

May 26, 2023
Hao Liu, Pieter Abbeel

Figure 1 for Emergent Agentic Transformer from Chain of Hindsight Experience
Figure 2 for Emergent Agentic Transformer from Chain of Hindsight Experience
Figure 3 for Emergent Agentic Transformer from Chain of Hindsight Experience
Figure 4 for Emergent Agentic Transformer from Chain of Hindsight Experience
Viaarxiv icon

D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias

May 26, 2023
Sabit Hassan, Malihe Alikhani

Figure 1 for D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Figure 2 for D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Figure 3 for D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Figure 4 for D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias
Viaarxiv icon

Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database

May 15, 2023
Anders Mølmen Høst, Pierre Lison, Leon Moonen

Figure 1 for Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
Figure 2 for Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
Figure 3 for Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
Figure 4 for Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database
Viaarxiv icon

Optimization's Neglected Normative Commitments

May 27, 2023
Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum

Figure 1 for Optimization's Neglected Normative Commitments
Figure 2 for Optimization's Neglected Normative Commitments
Viaarxiv icon