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Results
Found 13049 publication records. Showing 13049 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing |
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation.  |
NeurIPS  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pengze Zhang, Hubery Yin, Chen Li, Xiaohua Xie |
Formulating Discrete Probability Flow Through Optimal Transport. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Alex Fang, Simon Kornblith, Ludwig Schmidt |
Does progress on ImageNet transfer to real-world datasets? |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang 0001, Suhang Wang |
Certifiably Robust Graph Contrastive Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau Cuadros, Russell Webb |
How to Scale Your EMA. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang 0006, Jian-Guang Lou, Dongmei Zhang 0001 |
LayoutPrompter: Awaken the Design Ability of Large Language Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard |
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jaewook J. Suh, Jisun Park, Ernest K. Ryu |
Continuous-time Analysis of Anchor Acceleration. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang |
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu 0002 |
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Feldman, David Donoho |
Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yizhou Zhang, Jingchao Ni, Wei Cheng 0002, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu |
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji |
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh 0001, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal |
Benchmarking Robustness to Adversarial Image Obfuscations. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Raymond Feng, Flávio Calmon, Hao Wang |
Adapting Fairness Interventions to Missing Values. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Rui Peng, Xiaodong Gu, Luyang Tang, Shihe Shen, Fanqi Yu, Ronggang Wang |
GenS: Generalizable Neural Surface Reconstruction from Multi-View Images. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Drew Linsley, Ivan F. Rodriguez Rodriguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre |
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kilian Pfeiffer, Ramin Khalili, Jörg Henkel |
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo 0001, Yunhe Wang 0001 |
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Qiong Wu, Wei Yu 0004, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun, Rongrong Ji |
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si |
Learning Reliable Logical Rules with SATNet. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yao Ni, Piotr Koniusz |
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuriy Biktairov, Jyotirmoy Deshmukh |
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen |
Emergent Communication in Interactive Sketch Question Answering. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Adel Javanmard, Vahab Mirrokni |
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yanxiang Ma, Minjing Dong, Chang Xu |
Adversarial Robustness through Random Weight Sampling. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar |
Learning with Explanation Constraints. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wesley Khademi, Fuxin Li |
Diverse Shape Completion via Style Modulated Generative Adversarial Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam |
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Leonardo Galli, Holger Rauhut, Mark Schmidt 0001 |
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bingrui Li, Jianfei Chen, Jun Zhu |
Memory Efficient Optimizers with 4-bit States. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang |
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey |
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andre Vauvelle, Benjamin Wild, Roland Eils, Spiros C. Denaxas |
Differentiable sorting for censored time-to-event data. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiaqi Liu 0004, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng |
Real3D-AD: A Dataset of Point Cloud Anomaly Detection. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov |
Katakomba: Tools and Benchmarks for Data-Driven NetHack. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhibin Duan, Zhiyi Lv, Chaojie Wang 0001, Bo Chen 0001, Bo An 0001, Mingyuan Zhou |
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | David Brandfonbrener, Ofir Nachum, Joan Bruna |
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dayal Singh Kalra, Maissam Barkeshli |
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yifeng Chu, Maxim Raginsky |
A unified framework for information-theoretic generalization bounds. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang |
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang 0001, Christopher G. Brinton, Jaekyun Moon |
StableFDG: Style and Attention Based Learning for Federated Domain Generalization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Panagiotis Misiakos, Chris Wendler, Markus Püschel |
Learning DAGs from Data with Few Root Causes. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuzhou Cao, Hussein Mozannar, Lei Feng 0006, Hongxin Wei, Bo An 0001 |
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang |
Disentangling Cognitive Diagnosis with Limited Exercise Labels. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang 0001 |
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao 0001 |
Bridging Discrete and Backpropagation: Straight-Through and Beyond. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Marc Jourdan, Rémy Degenne |
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein |
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yipeng Li, Xinchen Lyu |
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fabian Jogl, Maximilian Thiessen, Thomas Gärtner 0001 |
Expressivity-Preserving GNN Simulation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bernardo Fichera, Slava Borovitskiy, Andreas Krause 0001, Aude Gemma Billard |
Implicit Manifold Gaussian Process Regression. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He |
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Abishek Sankararaman, Balakrishnan Narayanaswamy |
Online robust non-stationary estimation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson |
Unlocking Deterministic Robustness Certification on ImageNet. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed |
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li |
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas K. Garg, Samuel Kaski, Tommi S. Jaakkola |
Compositional Sculpting of Iterative Generative Processes. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lorenzo Noci, Chuning Li, Mufan Bill Li, Bobby He, Thomas Hofmann, Chris J. Maddison, Dan Roy |
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiangchen Song, Weiran Yao, Yewen Fan, Xinshuai Dong, Guangyi Chen 0002, Juan Carlos Niebles, Eric Xing, Kun Zhang 0001 |
Temporally Disentangled Representation Learning under Unknown Nonstationarity. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yuxuan Guo, Yifan Hao, Rui Zhang 0040, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen |
Emergent Communication for Rules Reasoning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shiqiang Zhang, Juan S. Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener |
Optimizing over trained GNNs via symmetry breaking. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Laixi Shi, Gen Li 0005, Yuting Wei, Yuxin Chen 0002, Matthieu Geist, Yuejie Chi |
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | William Brown, Jon Schneider, Kiran Vodrahalli |
Is Learning in Games Good for the Learners? |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park |
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh, Marek Petrik |
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Abhishek Singh 0005, Praneeth Vepakomma, Vivek Sharma 0001, Ramesh Raskar |
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche |
Koopman Kernel Regression. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Rong Wang, Wei Mao 0001, Hongdong Li |
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Johan S. Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro |
Small batch deep reinforcement learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu |
Evaluating Self-Supervised Learning for Molecular Graph Embeddings. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhen Qin, Songlin Yang, Yiran Zhong |
Hierarchically Gated Recurrent Neural Network for Sequence Modeling. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | David Loiseaux, Luis Scoccola, Mathieu Carrière, Magnus Bakke Botnan, Steve Oudot |
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li |
Does Graph Distillation See Like Vision Dataset Counterpart? |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang |
PTQD: Accurate Post-Training Quantization for Diffusion Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Daogao Liu, Arun Ganesh, Sewoong Oh, Abhradeep Guha Thakurta |
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi |
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhaoxi Chen 0009, Fangzhou Hong, Haiyi Mei, Guangcong Wang, Lei Yang 0045, Ziwei Liu 0002 |
PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Dongho Lee, Jongseo Lee, Jinwoo Choi |
CAST: Cross-Attention in Space and Time for Video Action Recognition. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun 0002 |
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Joe Watson, Sandy H. Huang, Nicolas Heess |
Coherent Soft Imitation Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang 0005, Wenbo Gong 0001 |
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon |
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jihun Yun, Eunho Yang |
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Christian Kümmerle, Johannes Maly |
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Chaoran Cheng, Jian Peng 0001 |
Equivariant Neural Operator Learning with Graphon Convolution. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Josh Gardner, Zoran Popovic, Ludwig Schmidt |
Benchmarking Distribution Shift in Tabular Data with TableShift. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Guojun Xiong, Jian Li |
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo |
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Aleksandr Podkopaev, Aaditya Ramdas |
Sequential Predictive Two-Sample and Independence Testing. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Paul Geuchen, Felix Voigtländer |
Optimal approximation using complex-valued neural networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan |
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Benjamin J. Holzschuh, Simona Vegetti, Nils Thuerey |
Solving Inverse Physics Problems with Score Matching. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xianhang Li, Zeyu Wang 0008, Cihang Xie |
An Inverse Scaling Law for CLIP Training. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jongseok Park, Kyungmin Bin, Gibum Park, Sangtae Ha, Kyunghan Lee |
ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hadi Vafaii, Jacob Yates, Daniel Butts |
Hierarchical VAEs provide a normative account of motion processing in the primate brain. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sander Beckers |
Moral Responsibility for AI Systems. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Julia Linhart, Alexandre Gramfort, Pedro Rodrigues 0002 |
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Dingshuo Chen, Yanqiao Zhu 0001, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu 0006, Shu Wu, Liang Wang 0056 |
Uncovering Neural Scaling Laws in Molecular Representation Learning. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser, Scott W. Linderman |
Switching Autoregressive Low-rank Tensor Models. |
NeurIPS |
2023 |
DBLP BibTeX RDF |
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