[0] INQUIRE: A Natural World Text-to-Image Retrieval Benchmark[cs.CV] 标题：自然世界文本到图像检索基准：INQUIRE 作者：Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn 链接：http://arxiv.org/abs/2411.02537 代码：https://inquire-benchmark.github.io 备注：Published in NeurIPS 2024, Datasets and Benchmarks Track
[1] TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives[cs.CV] 标题：三联CLIP：通过合成视觉-语言负例提升CLIP的组合推理能力 作者：Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang 链接：http://arxiv.org/abs/2411.02545 代码：https://tripletclip.github.io 备注：Accepted at: NeurIPS 2024 | Project Page: this https URL
[2] ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy[cs.CV] 标题：ViTally Consistent：规模化扩展细胞显微摄影中的生物表示学习 作者：Kian Kenyon-Dean, Zitong Jerry Wang, John Urbanik, Konstantin Donhauser, Jason Hartford, Saber Saberian, Nil Sahin, Ihab Bendidi, Safiye Celik, Marta Fay, Juan Sebastian Rodriguez Vera, Imran S Haque, Oren Kraus 链接：http://arxiv.org/abs/2411.02572 备注：NeurIPS 2024 Foundation Models for Science Workshop (38th Conference on Neural Information Processing Systems). 18 pages, 7 figures
[3] Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading[cs.CV] 标题：异源域，同向评分：提升糖尿病视网膜病变分级中的泛化能力 作者：Sharon Chokuwa, Muhammad Haris Khan 链接：http://arxiv.org/abs/2411.02614 代码：https://github.com/sharonchokuwa/dg-adr 备注：Accepted at WACV 2025
[5] Test-Time Dynamic Image Fusion[cs.CV] 标题：测试时动态图像融合 作者：Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu 链接：http://arxiv.org/abs/2411.02840 代码：https://github.com/Yinan-Xia/TTD 备注：Accepted by NeurIPS 2024
[6] OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing[cs.CV] 标题：OLAF：一种用于增强多目标多部件场景解析的即插即用框架 作者：Pranav Gupta, Rishubh Singh, Pradeep Shenoy, Ravikiran Sarvadevabhatla 链接：http://arxiv.org/abs/2411.02858 代码：http://olafseg.github.io 备注：Accepted in The European Conference on Computer Vision (ECCV) 2024
[8] Membership Inference Attacks against Large Vision-Language Models[cs.CV] 标题：大型视觉语言模型的成员身份推理攻击 作者：Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elias Abad Rocamora, Volkan Cevher 链接：http://arxiv.org/abs/2411.02902 代码：https://github.com/LIONS-EPFL/VL-MIA 备注：NeurIPS 2024
[9] CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection[cs.CV] 标题：CRT-Fusion：结合运动信息的摄像头、雷达及时间融合的三维目标检测 作者：Jisong Kim, Minjae Seong, Jun Won Choi 链接：http://arxiv.org/abs/2411.03013 备注：Accepted at NeurIPS2024
[10] Rethinking Decoders for Transformer-based Semantic Segmentation: Compression is All You Need[cs.CV] 标题：重新思考基于Transformer的语义分割解码器：压缩即是全部所需 作者：Qishuai Wen, Chun-Guang Li 链接：http://arxiv.org/abs/2411.03033 代码：https://github.com/QishuaiWen/DEPICT/ 备注：NeurIPS2024. Code:this https URL
[11] Pre-trained Visual Dynamics Representations for Efficient Policy Learning[cs.CV] 标题：预训练的视觉动态表征以提高政策学习效率 作者：Hao Luo, Bohan Zhou, Zongqing Lu 链接：http://arxiv.org/abs/2411.03169 备注：ECCV 2024
[12] On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models[cs.CV] 标题：关于扩散模型改进条件机制与预训练策略 作者：Tariq Berrada Ifriqi, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal 链接：http://arxiv.org/abs/2411.03177 备注：Accepted as a conference paper (poster) for NeurIPS 2024
[13] Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-Resolution[cs.CV] 标题：解耦细部细节与全局几何的压缩深度图超分辨率 作者：Huan Zheng, Wencheng Han, Jianbing Shen 链接：http://arxiv.org/abs/2411.03239 备注：The 1st solution for the ECCV 2024 AIM Compressed Depth Upsampling Challenge
[14] Classification Done Right for Vision-Language Pre-Training[cs.CV] 标题：正确进行视觉-语言预训练的分类 作者：Huang Zilong, Ye Qinghao, Kang Bingyi, Feng Jiashi, Fan Haoqi 链接：http://arxiv.org/abs/2411.03313 代码：https://github.com/x-cls/superclass 备注：Accepted by NeurIPS 2024
自然语言处理会议: 7篇
[0] INQUIRE: A Natural World Text-to-Image Retrieval Benchmark[cs.CV] 标题：自然世界文本到图像检索基准：INQUIRE 作者：Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn 链接：http://arxiv.org/abs/2411.02537 代码：https://inquire-benchmark.github.io 备注：Published in NeurIPS 2024, Datasets and Benchmarks Track
[1] TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives[cs.CV] 标题：三联CLIP：通过合成视觉-语言负例提升CLIP的组合推理能力 作者：Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang 链接：http://arxiv.org/abs/2411.02545 代码：https://tripletclip.github.io 备注：Accepted at: NeurIPS 2024 | Project Page: this https URL
[2] Extracting Unlearned Information from LLMs with Activation Steering[cs.CL] 标题：从大型语言模型中提取未学习信息的激活引导 作者：Atakan Seyitoğlu, Aleksei Kuvshinov, Leo Schwinn, Stephan Günnemann 链接：http://arxiv.org/abs/2411.02631 备注：Accepted at NeurIPS 2024 Workshop Safe Generative AI
