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A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?

9 August 2024

Papers citing "A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?"

42 / 42 papers shown

Title
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 100 4 0 03 Jun 2024
Intriguing properties of generative classifiers P. Jaini Kevin Clark Robert Geirhos BDL 80 39 0 28 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 81 63 0 23 Sep 2023
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation Xingchao Liu Xiwen Zhang Jianzhu Ma Jian Peng Qiang Liu 172 223 0 12 Sep 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No Hualiang Wang Yi Li Huifeng Yao Xuelong Li VLM OODD 114 107 0 23 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models Ruiyuan Gao Chenchen Zhao Lanqing Hong Q. Xu 86 18 0 15 Aug 2023
Multiclass Confidence and Localization Calibration for Object Detection Bimsara Pathiraja Malitha Gunawardhana M. H. Khan UQCV 79 15 0 14 Jun 2023
Visual Instruction Tuning Haotian Liu Chunyuan Li Qingyang Wu Yong Jae Lee SyDa VLM MLLM 571 4,925 0 17 Apr 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 155 239 0 28 Mar 2023
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection Shilong Liu Zhaoyang Zeng Tianhe Ren Feng Li Hao Zhang ... Chun-yue Li Jianwei Yang Hang Su Jun Zhu Lei Zhang ObjD 191 2,023 0 09 Mar 2023
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting Zhenzhen Liu Jinjie Zhou Yufan Wang Kilian Q. Weinberger DiffM 93 41 0 20 Feb 2023
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need Jingyao Li Pengguang Chen Shaozuo Yu Zexin He Shu Liu Jiaya Jia OODD 84 45 0 06 Feb 2023
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Yixuan Li VLM OODD 123 173 0 24 Nov 2022
Denoising diffusion models for out-of-distribution detection M. Graham W. H. Pinaya Petru-Daniel Tudosiu P. Nachev Sebastien Ourselin M. Jorge Cardoso 94 77 0 14 Nov 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 38 23 0 15 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection Samuel Wilson Tobias Fischer Feras Dayoub Dimity Miller Niko Sünderhauf OODD 122 31 0 29 Aug 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 466 6,083 0 23 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 227 286 0 19 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 212 533 0 13 Apr 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 425 6,921 0 13 Apr 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 557 4,421 0 28 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 511 15,788 0 20 Dec 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 60 18 0 19 May 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 117 346 0 22 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 260 5,107 0 08 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,375 0 08 Oct 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 85 604 0 16 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 759 18,408 0 19 Jun 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 170 195 0 06 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 111 577 0 26 Feb 2020
Input complexity and out-of-distribution detection with likelihood-based generative models Joan Serrà David Álvarez Vicencc Gómez Olga Slizovskaia José F. Núñez Jordi Luque OODD 157 277 0 25 Sep 2019
Efficient Pipeline for Camera Trap Image Review Sara Beery Dan Morris Siyu Yang 42 142 0 15 Jul 2019
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance Taylor Denouden Rick Salay Krzysztof Czarnecki Vahdat Abdelzad Buu Phan Sachin Vernekar OODD 66 123 0 06 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 199 2,064 0 10 Jul 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 346 2,158 0 12 May 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 88 592 0 13 Feb 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 131 882 0 26 Nov 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,082 0 08 Jun 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 114 2,235 0 17 Mar 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 179 3,482 0 07 Oct 2016
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 437 43,875 0 01 May 2014