hunoutl/paperlists huggingface dataset:
Title: The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Authors: Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schoelkopf, Anna Levina
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; University of Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Mila, Quebec AI Institute, Canada; Max Planck Institute for Intelligent Systems, Tübingen, Germany; University of Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: iclr 2024 (main track)
Keywords: Computational Neuroscience;Phenomenological Neuron Modeling;Cortical Neurons;Recurrent Neural Networks;Machine Learning;Biologically Inspired Modelling
Decision: Poster
Title: Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Authors: Qin ZHANG, Linghan Xu, Jun Fang, Qingming Tang, Yingnian Wu, Joseph Tighe, Yifan Xing
Affiliations: AWS AI Labs; Alexa AI; University of North Carolina at Chapel Hill
Conference: iclr 2024 (main track)
Keywords: Deep metric learning;Open-world visual recognition;Threshold consistency
Decision: Poster
Title: Multilingual Jailbreak Challenges in Large Language Models
Authors: Yue Deng, Wenxuan Zhang, Sinno Pan, Lidong Bing
Affiliations: DAMO Academy, Alibaba Group, Singapore and Hupan Lab, 310023, Hangzhou, China; DAMO Academy, Alibaba Group, Singapore and Nanyang Technological University, Singapore; Nanyang Technological University, Singapore and The Chinese University of Hong Kong, Hong Kong SAR
Conference: iclr 2024 (main track)
Keywords: multilingual;safety;large language models
Decision: Poster
Title: Skip-Attention: Improving Vision Transformers by Paying Less Attention
Authors: Shashank Venkataramanan, Amir Ghodrati, Yuki Asano, Fatih Porikli, Amirhossein Habibian
Affiliations: Qualcomm AI Research; University of Amsterdam
Conference: iclr 2024 (main track)
Keywords: vision transformers;efficiency;redundacy in attention maps;improved throughput
Decision: Poster
Title: SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
Authors: Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong
Affiliations: Nanyang Technological University; South China University of Technology
Conference: iclr 2024 (main track)
Keywords: Black-Box Optimization;Meta-Black-Box Optimization;Deep Reinforcement Learning;Symbolic Equation Learning
Decision: Poster
Title: Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Authors: Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, Larry Zitnick, Zachary Ulissi
Affiliations: Meta FAIR; NYU
Conference: iclr 2024 (main track)
Keywords: generative model;large language model;stable materials;AI for science
Decision: Poster
Title: Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
Authors: Na Li, Yuchen Jiao, Hangguan Shan, Shefeng Yan
Affiliations: School of Information and Electronics, Beijing Institute of Technology, Beijing, China; College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China; Institute of Acoustics, Chinese Academy of Sciences, Beijing, China
Conference: iclr 2024 (main track)
Keywords: model-free RL;self-play;memory efficiency;Q-learning;Nash equilibrium;Markov policy
Decision: Poster
Title: Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
Authors: Ziqiang Li, Hong Sun, Pengfei Xia, Heng Li, Beihao Xia, Yi Wu, Bin Li
Affiliations: Huazhong University of Science and Technology; Big Data and Decision Lab, University of Science and Technology of China
Conference: iclr 2024 (main track)
Keywords: Deep Neural Networks;Backdoor Attacks;Poisoning Efficiency.
Decision: Poster
Title: How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
Authors: Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter Bartlett
Affiliations: UC Berkeley; The University of Hong Kong; Google DeepMind & UC Berkeley; Rice University; UCLA
Conference: iclr 2024 (main track)
Keywords: in-context learning;linear regression;ridge regression;Bayes optimality
Decision: Spotlight
Title: Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Authors: Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
Affiliations: The University of Hong Kong; KAIST AI; KAIST AI, AITRICS
Conference: iclr 2024 (main track)
Keywords: Transfer Learning;Nonparametric Learning;Bayesian Neural Network
Decision: Poster
Title: Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Authors: Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
Affiliations: Microsoft Research Asia; IIIS, Tsinghua University; SEM, University of Chinese Academy of Sciences; ECE, University of Illinois at Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Iterated CVaR;Learning Theory;Function Approximation;Human Feedback
Decision: Poster
Title: Xformer: Hybrid X-Shaped Transformer for Image Denoising
Authors: Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
Affiliations: Shenyang Institute of Automation, Chinese Academy of Sciences; Shanghai AI Laboratory, University of Sydney; Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Image denoising;hybrid Transformer blocks
Decision: Poster
Title: SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Authors: Saleh Ashkboos, Maximilian Croci, Marcelo Gennari do Nascimento, Torsten Hoefler, James Hensman
Affiliations: Microsoft Research; ETH Zurich; Microsoft
Conference: iclr 2024 (main track)
Keywords: compression;sparsification;large language models
Decision: Poster
Title: CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Authors: Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty
Affiliations: Salesforce Research
Conference: iclr 2024 (main track)
Keywords: code generation;language model;self-revision;program synthesis;modularity;llm;competitive programming;clustering
Decision: Poster
Title: Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
Authors: Hung Quang Nguyen, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa Doan
Affiliations: College of Engineering and Computer Science, VinUniversity, Vietnam; VinAI Research; Tufts University
Conference: iclr 2024 (main track)
Keywords: adversarial attacks;adversarial defense;black-box attacks
Decision: Poster
Title: Learning Multi-Agent Communication with Contrastive Learning
Authors: Yat Long (Richie) Lo, Biswa Sengupta, Jakob Foerster, Mikhail Noukhovitch
Affiliations: Mila, Université de Montréal; Imperial College London; FLAIR, University of Oxford; Dyson Robot Learning Lab
Conference: iclr 2024 (main track)
Keywords: Multi-Agent Reinforcement Learning;Emergent Communication;Contrastive Learning
Decision: Poster
Title: Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
Authors: Yaofo Chen, Shuaicheng Niu, Shoukai Xu, Hengjie Song, Mingkui Tan, Yaowei Wang
Affiliations: Nanyang Technological University; South China University of Technology, Key Laboratory of Big Data and Intelligent Robot, Ministry of Education, Pazhou Laboratory; South China University of Technology; Pengcheng Laboratory
Conference: iclr 2024 (main track)
Keywords: model adaptation;cloud-edge model deployment;cloud-edge model collaboration;test-time adaptation
Decision: Poster
Title: CODE REPRESENTATION LEARNING AT SCALE
Authors: Dejiao Zhang, Wasi Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang
Affiliations: A WS AI Labs
Conference: iclr 2024 (main track)
Keywords: code representation learning;customized token-level denoising objective for code;hard negative;hard positive
Decision: Poster
Title: General Graph Random Features
Authors: Isaac Reid, Krzysztof Choromanski, Eli Berger, Adrian Weller
Affiliations: University of Cambridge, Alan Turing Institute; University of Cambridge; Google DeepMind, Columbia University; University of Haifa
Conference: iclr 2024 (main track)
Keywords: Graphs;kernels;random walks;Laplacian;adjacency matrix;kernel learning;ordinary differential equation;neural network
Decision: Poster
Title: Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
Authors: Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng
Affiliations: The Australian National University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Synthetic Data;Object re-ID;Benchmarks
Decision: Poster
Title: From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
Authors: Irene Cannistraci, Luca Moschella, Marco Fumero, Valentino Maiorca, Emanuele Rodolà
Affiliations: Sapienza University of Rome
Conference: iclr 2024 (main track)
Keywords: invariance;latent space;latent comunication;zero-shot stitching;representation learning;relative representation
Decision: Spotlight
Title: When should we prefer Decision Transformers for Offline Reinforcement Learning?
Authors: Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang
Affiliations: Meta AI; University of Texas, Austin
Conference: iclr 2024 (main track)
Keywords: offline reinforcement learning;sequence modeling;reinforcement learning
Decision: Poster
Title: Can Large Language Models Infer Causation from Correlation?
Authors: Zhijing Jin, Jiarui Liu, Zhiheng LYU, spencer poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, Bernhard Schoelkopf
Affiliations: University of Michigan; University of Hong Kong; LTI, CMU; LTI, CMU; Work originated as a Meta AI internship project; Max Planck Institute for Intelligent Systems, Tübingen, Germany; Max Planck Institute for Intelligent Systems, Tübingen, Germany; ETH Zürich; Meta AI; ETH Zürich
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Natural Language Inference;Causal Reasoning;Correlation-to-Causation Inference;Benchmark Dataset;Causal Discovery
Decision: Poster
Title: Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
Authors: Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
Affiliations: Institute of Quantum Sensing and Information Processing, Shanghai Jiao Tong University; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: quantum property estimation;pretraining;finetuning
Decision: Spotlight
Title: CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
Authors: Florian Grötschla, Joël Mathys, Róbert Veres, Roger Wattenhofer
Affiliations: ETH Zurich
Conference: iclr 2024 (main track)
Keywords: Graph Visualization;Optimization;Scalability;Graph Neural Networks
Decision: Poster
Title: GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING
Authors: DINGYUAN SHI, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye
Affiliations: Independent Researcher; City University of Hong Kong; University of Michigan; Beihang University
Conference: iclr 2024 (main track)
Keywords: path planning;diffusion model
Decision: Poster
Title: Off-Policy Primal-Dual Safe Reinforcement Learning
Authors: Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang
Affiliations: Meituan, Beijing, China; Institute for Advanced Algorithms Research, Shanghai, China; Sun Yat-sen University, Guangzhou, China
Conference: iclr 2024 (main track)
Keywords: Safe Reinforcement Learning
Decision: Poster
Title: Sapling: $\underline{S}$uccessive $\underline{A}$daptation and Com$\underline{p}$ression with $\underline{L}$ayer Dropp$\underline{ing}$ for LLMs
Conference: iclr 2024 (main track)
Keywords: Efficient Deep Learning;Layer Dropping;LLM Fine-tuning;Specialized LLMs
Decision: Reject
Title: Are Models Biased on Text without Gender-related Language?
Authors: Catarina Belém, Preethi Seshadri, Yasaman Razeghi, Sameer Singh
Affiliations: Department of Computer Science, University of California Irvine
Conference: iclr 2024 (main track)
Keywords: Large language models;bias evaluation;gender bias;gender co-occurring words;gender-invariant;pretraining data statistics
Decision: Poster
Title: Atoms as Words: A Novel Approach to Deciphering Material Properties using NLP-inspired Machine Learning on Crystallographic Information Files (CIFs)
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: Condensed matter physics;Materials science;Material properties prediction;Crystallographic Information Files (CIFs);Natural Language Processing (NLP) in materials;Word2Vec-inspired technique;Atomic embeddings;CIFSemantics model;Band gap;Formation energy;Material representation
Decision: Withdraw
Title: MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Authors: Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao MA, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, zili wang, Yike Guo, Jie Fu
Affiliations: Durham University; Queen Mary University of London; Carnegie Mellon University; Beijing Academy of Artificial Intelligence, linksoul.ai; University of Waterloo; Hong Kong University of Science and Technology; Dartmouth College; Beijing Academy of Artificial Intelligence; University of Sheffield, Hong Kong University of Science and Technology; Hong Kong University of Science and Technology, University of Waterloo, Beijing Academy of Artificial Intelligence; University of Sheffield; m-a-p.ai; Hong Kong University of Science and Technology, Beijing Academy of Artificial Intelligence; MBZUAI, New York University; m-a-p.ai, University of Manchester
Conference: iclr 2024 (main track)
Keywords: self-supervised learning;music;audio;language model
Decision: Poster
Title: SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
Authors: Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
Affiliations: KAIST AI; Carnegie Mellon University; University of Michigan; Naver AI Lab
Conference: iclr 2024 (main track)
Keywords: question answering;large language model;retrieval
Decision: Poster
Title: Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
Authors: Chencheng Cai, Xu Zhang, Edoardo Airoldi
Affiliations: Department of Statistics, Operations, and Data Science, Temple University; Amazon; Department of Mathematics and Statistics, Washington State University
Conference: iclr 2024 (main track)
Keywords: Causal inference;Design of experiments;Interference;Random graph;Spillover effects;Treatment effects;Potential outcomes
Decision: Poster
Title: Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields
Authors: Junoh Lee, Hyunjun Jung, Jinhwi Park, Inhwan Bae, Hae-Gon Jeon
Affiliations: School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Korea; AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Korea; School of Electrical Engineering and Computer Science, AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Korea
Conference: iclr 2024 (main track)
Keywords: Neural Radiance Fields;Neural Rendering
Decision: Poster
Title: Linearity of Relation Decoding in Transformer Language Models
Authors: Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
Affiliations: Harvard University; Massachusetts Institute of Technology; Northeastern University; Technion IIT
Conference: iclr 2024 (main track)
Keywords: Natural language processing;interpretability;language models
Decision: Spotlight
Title: Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
Authors: Utkarsh Kumar Mall, Cheng Perng Phoo, Meilin Liu, Carl Vondrick, Bharath Hariharan, Kavita Bala
Affiliations: Cornell University, Ithaca, NY; Columbia University, New York, NY
Conference: iclr 2024 (main track)
Keywords: remote sensing;vision-language models;zero-shot;foundation models;label-efficiency
Decision: Poster
Title: On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning
Authors: Ziyi Chen, Yi Zhou, Heng Huang
Affiliations: Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT 84112, USA; Department of Computer Science, University of Maryland, College Park, MD 20742, USA
Conference: iclr 2024 (main track)
Keywords: Multi-Agent Reinforcement Learning;Constrained reinforcement learning;Primal-Dual;Duality gap;Primal algorithm
Decision: Poster
Title: Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
Authors: Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu
Affiliations: University of South Australia, Data61, CSIRO; University of South Australia; Hefei University of Technology
Conference: iclr 2024 (main track)
Keywords: Causal Inference;Variational AutoEncoder;Front Door Criterion
Decision: Poster
Title: YaRN: Efficient Context Window Extension of Large Language Models
Authors: Bowen Peng, Jeffrey Quesnelle, Honglu Fan, Enrico Shippole
Affiliations: Nous Research; University of Geneva; EleutherAI
Conference: iclr 2024 (main track)
Keywords: transformers;nlp;fine-tuning;context window;attention;rotary embedding
Decision: Poster
Title: BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
Authors: Yaoming Wang, Li Jin, XIAOPENG ZHANG, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian
Affiliations: Shanghai Jiao Tong University; Huawei Cloud
Conference: iclr 2024 (main track)
Keywords: referring image segmentation; parameter efficient tuning
Decision: Spotlight
Title: Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
Authors: Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu
Affiliations: Cornell University; Mohamed bin Zayed University of Artiﬁcial Intelligence; Western University
Conference: iclr 2024 (main track)
Keywords: Generalized Linear Models;Learning with Varying Data;Differential Equations
Decision: Spotlight
Title: STARC: A General Framework For Quantifying Differences Between Reward Functions
Authors: Joar Skalse, Lucy Farnik, Sumeet Motwani, Erik Jenner, Adam Gleave, Alessandro Abate
Affiliations: FAR AI, Inc.; University of Bristol, Bristol AI Safety Centre; Department of Computer Science, Oxford University; Berkeley Artificial Intelligence Research, University of California, Berkeley; Department of Computer Science, Future of Humanity Institute, Oxford University
Conference: iclr 2024 (main track)
Keywords: reward functions;reward learning;metrics;evaluations
Decision: Poster
Title: MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo
Authors: chenjie cao, xinlin ren, Yanwei Fu
Affiliations: Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University; School of Data Science, Fudan University
Conference: iclr 2024 (main track)
Keywords: Multi-View Stereo;Transformer;Depth Estimation
Decision: Poster
Title: CLEX: Continuous Length Extrapolation for Large Language Models
Authors: Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
Affiliations: Sun Yat-sen University; University of Glasgow; Mohamed bin Zayed University of Artificial Intelligence; DAMO Academy, Alibaba Group
Conference: iclr 2024 (main track)
Keywords: Length Extrapolation;Long Context;Large Language Model (LLM);Neural Ordinary Differential Equation (ODE)
Decision: Poster
Title: Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
Authors: Miao Lu, Beining Wu, Xiaodong Yang, Difan Zou
Affiliations: Stanford University; University of Chicago; Harverd University; University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: deep learning theory; large learning rate; oscillation of stochastic gradient descent;
Decision: Poster
Title: Mixture of Weak and Strong Experts on Graphs
Authors: Hanqing Zeng, Hanjia Lyu, Diyi Hu, Yinglong Xia, Jiebo Luo
Affiliations: Meta AI; University of Rochester; University of Southern California
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Mixture of experts;Node classification
Decision: Poster
Title: Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Authors: Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen McAleer
Affiliations: University of Maryland, College Park; Princeton University; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Robustness;Adversarial Learning
Decision: Poster
Title: Counterfactual Density Estimation using Kernel Stein Discrepancies
Authors: Diego Martinez-Taboada, Edward Kennedy
Affiliations: Department of Statistics & Data Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2024 (main track)
Keywords: counterfactual density estimation;kernel Stein discrepancy;causal inference;kernel methods
Decision: Poster
Title: Uni3D: Exploring Unified 3D Representation at Scale
Authors: Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
Affiliations: Beijing Academy of Artificial Intelligence; Peking University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: 3D foundation model;universal 3D representation at scale;open-world 3D understanding
Decision: Spotlight
Title: Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Authors: Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay
Affiliations: Nanyang Technological University; C3 AI, Singapore; Singapore University of Social Sciences; Anhui University
Conference: iclr 2024 (main track)
Keywords: graph neural network
Decision: Spotlight
Title: Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation
Authors: Shih-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard Yang, Giyeong Oh, Yanmin Gong
Affiliations: UTSA; Yonsei University; NTHU Apple UTSA; University of Toronto
Conference: iclr 2024 (main track)
Keywords: Text-to-Image;Model Customization;Parameter-Efficient Fine-Tuning;Model Evaluation
Decision: Poster
Title: $\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
Authors: Yining Jiao, Carlton ZDANSKI, Julia Kimbell, Andrew Prince, Cameron Worden, Samuel Kirse, Christopher Rutter, Benjamin Shields, William Dunn, Jisan Mahmud, Marc Niethammer
Affiliations: The Ohio State University College of Medicine; University of North Carolina at Chapel Hill; Wake Forest School of Medicine
Conference: iclr 2024 (main track)
Keywords: Shape Modeling;Medical Shape Analysis;Interpretable Representation;AI4Science
Decision: Spotlight
Title: LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
Authors: Lingfeng Liu, Dong Ni, Hangjie Yuan
Affiliations: College of Control Science and Engineering, Zhejiang University; College of Information Science & Electronic Engineering, Zhejiang University
Conference: iclr 2024 (main track)
Keywords: hyperspectral imaging;optical modulation;real-time detection;vision transformer;pre-acquisition modulation;learnable mask;weight binarization
Decision: Poster
Title: Scalable Diffusion for Materials Generation
Authors: Sherry Yang, Kwanghwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Cubuk
Affiliations: Google DeepMind; University of Alberta; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Generative models for materials;diffusion models;density function theory
Decision: Poster