hunoutl/paperlists huggingface dataset:
Title: SaProt: Protein Language Modeling with Structure-aware Vocabulary
Authors: Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou, Fajie Yuan
Affiliations: Westlake University; Zhejiang University, Westlake University
Conference: iclr 2024 (main track)
Keywords: Protein Language Models;Universal Representations;Downstream Tasks;Protein Structure Modeling
Decision: Spotlight
Title: NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
Authors: Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
Conference: iclr 2024 (main track)
Keywords: Image Interpolation; Diffusion Models
Decision: Spotlight
Title: Dynamic Discounted Counterfactual Regret Minimization
Authors: Hang Xu, Kai Li, Haobo Fu, QIANG FU, Junliang Xing, Jian Cheng
Affiliations: Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; School of Future Technology, University of Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Tencent AI Lab; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: imperfect-information games;regret minimization;Nash equilibrium
Decision: Spotlight
Title: LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Authors: Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia
Affiliations: MIT, NVIDIA; MIT; CUHK
Conference: iclr 2024 (main track)
Keywords: Efficient fine-tuning;Long context;Large language model
Decision: Oral
Title: IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
Authors: Yuzhen Mao, Martin Ester, Ke Li
Affiliations: School of Computing Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
Conference: iclr 2024 (main track)
Keywords: Efficient Transformers;Inference-time Efficiency;CPU
Decision: Poster
Title: Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Authors: Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
Affiliations: Docta.ai; University of California, Santa Cruz
Conference: iclr 2024 (main track)
Keywords: Label errors;dataset cleaning;AI safety;toxicity;harmless;language models
Decision: Poster
Title: Local Search GFlowNets
Authors: Minsu Kim, Yun Taeyoung, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio, Sungsoo Ahn, Jinkyoo Park
Affiliations: Mila, Université de Montréal; KAIST, Omelet; Recursion; POSTECH; Mila, Université de Montréal, CIFAR; KAIST
Conference: iclr 2024 (main track)
Keywords: GFlowNet;molecule optimization;biological sequence design;local search;reinforcement learning
Decision: Spotlight
Title: Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model
Authors: Hanni Cheng, Ya Cong, Weihao Jiang, Shiliang Pu
Affiliations: Hikvision Research Institute, Hangzhou 310051, China
Conference: iclr 2024 (main track)
Keywords: Combinatorial Optimization;Class-Contrained Bin Packing Problems;Graph Convolution Network;Cluster Decode
Decision: Poster
Title: STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
Authors: Yu-Hsuan Wu, Jerry Hu, Weijian Li, Bo-Yu Chen, Han Liu
Affiliations: Department of Physics, National Taiwan University, Taipei 10617, Taiwan; Department of Computer Science, Northwestern University, Evanston, IL 60208, USA; Department of Statistics and Data Science, Northwestern University, Evanston, IL 60208, USA
Conference: iclr 2024 (main track)
Keywords: Time Series Prediction; Multivariate Time Series; Modern Hopfield Networks; Sparse Hopfield Model; Hopfield Layer; Attention Mechanism
Decision: Poster
Title: Fill with Anything: High-Resolution and Prompt-Faithful Image Completion
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: text-guided inpainting;diffusion inpainting;reweighting attention score guidance;prompt-aware introverted attention;RASG;PaIntA;conditional super-resolution;classifier guidance;classifier-free guidance;introvert attention;diffusion models
Decision: Withdraw
Title: Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models
Authors: Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Zhao, Hongkun Yu, Kurt Keutzer, trevor darrell, Denny Zhou
Affiliations: The University of Texas at Austin; University of Massachusetts Amherst; University of California, Berkeley; Massachusetts Institute of Technology; Google
Conference: iclr 2024 (main track)
Keywords: MoE;Instruction Tuning
Decision: Poster
Title: A Semantic Invariant Robust Watermark for Large Language Models
Authors: Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen
Affiliations: School of Software, BNRist, Tsinghua University; The Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2024 (main track)
Keywords: Watermark algorithms;Large Language Models;Robustness
Decision: Poster
Title: Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
Authors: Xiaogang Jia, Denis Blessing, Xinkai Jiang, Moritz Reuss, Atalay Donat, Rudolf Lioutikov, Gerhard Neumann
Affiliations: Intuitive Robots Lab, Karlsruhe Institute of Technology; Autonomous Learning Robots, Karlsruhe Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Imitation Learning;Benchmark;Datasets;Diverse Behaviors
Decision: Poster
Title: Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks
Affiliations: Affiliation of the Second Author; Affiliation of the First Author
Conference: iclr 2024 (main track)
Keywords: Probabilistic Sampling;Temporal Random Walk;Graph Convolutional Networks;Transaction Anomaly Detection;Ethereum Networks
Decision: Reject
Title: Continuous Invariance Learning
Authors: LIN Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu HE, Yuan Yuan, Yu Liu, James Zhang, Yujiu Yang, Hao Wang
Affiliations: Rutgers University; Chinese University of Hong Kong; The Hong Kong University of Science and Technology; Tsinghua University; MIT CSAIL; Ant Group
Conference: iclr 2024 (main track)
Keywords: Causality; Domain Generalization; Invariance Learning
Decision: Poster
Title: ($\texttt{PEEP}$) $\textbf{P}$redicting $\textbf{E}$nzym$\textbf{e}$ $\textbf{P}$romiscuity with its Molecule Mate – an Attentive Metric Learning Solution
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: Protein Engineering; Metric Learning;
Decision: Reject
Title: RetroBridge: Modeling Retrosynthesis with Markov Bridges
Authors: Ilia Igashov, Arne Schneuing, Marwin Segler, Michael Bronstein, Bruno Correia
Affiliations: University of Oxford; Microsoft Research; ´Ecole Polytechnique F ´ed´erale de Lausanne
Conference: iclr 2024 (main track)
Keywords: Retrosynthesis;Reactions;Chemistry;Drug Discovery;Markov Bridge
Decision: Spotlight
Title: Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow
Authors: Hanyu Zhou, Yi Chang, Haoyue Liu, YAN WENDING, Yuxing Duan, Zhiwei Shi, Luxin Yan
Affiliations: National Key Lab of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology; Huawei International Co. Ltd.
Conference: iclr 2024 (main track)
Keywords: nighttime optical flow;event camera;domain adaptation;common space
Decision: Spotlight
Title: Mirage: Model-agnostic Graph Distillation for Graph Classification
Authors: Mridul Gupta, Sahil Manchanda, HARIPRASAD KODAMANA, Sayan Ranu
Affiliations: Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi, Delhi, India; Department of Computer Science, Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi, Delhi, India; Department of Chemical Engineering, Yardi School of Artificial Intelligence, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi, Delhi, India; Department of Computer Science, Indian Institute of Technology, Delhi, Hauz Khas, New Delhi, Delhi, India
Conference: iclr 2024 (main track)
Keywords: graph distillation;graph classification;frequent pattern mining
Decision: Poster
Title: A Characterization Theorem for Equivariant Networks with Point-wise Activations
Authors: Marco Pacini, Xiaowen Dong, Bruno Lepri, Gabriele Santin
Affiliations: University of Venice, Italy; Fondazione Bruno Kessler, Italy; University of Oxford, United Kingdom
Conference: iclr 2024 (main track)
Keywords: Geometric Deep Learning;Equivariant Neural Networks;Characterization Theorem;Point-wise Activations
Decision: Poster
Title: Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
Authors: KARIM HAMADE, Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
Affiliations: Cornell University; Microsoft Research; University of Toronto
Conference: iclr 2024 (main track)
Keywords: Skill-AI compatibility;Agent Systems;Decision-making;Chess;Deep RL
Decision: Poster
Title: Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
Authors: Simone Magistri, Tomaso Trinci, Albin Soutif--Cormerais, Joost van de Weijer, Andrew Bagdanov
Affiliations: Department of Information Engineering, University of Florence, Italy; Computer Vision Center, Universitat Autònoma de Barcelona, Spain
Conference: iclr 2024 (main track)
Keywords: Computer vision;continual learning;class-incremental learning;exemplar free;lifelong learning
Decision: Poster
Title: Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
Authors: Zhenhui Ye, Tianyun Zhong, Yi Ren, Jiaqi Yang, Weichuang Li, Jiawei Huang, Ziyue Jiang, Jinzheng He, Rongjie Huang, Jinglin Liu, Chen Zhang, Xiang Yin, Zejun MA, Zhou Zhao
Affiliations: Zhejiang University; Zhejiang University & ByteDance; HKUST(GZ); ByteDance
Conference: iclr 2024 (main track)
Keywords: One-shot Talking Face Generation;Neural Radiance Field
Decision: Spotlight
Title: SLiMe: Segment Like Me
Authors: Aliasghar Khani, Saeid Asgari, Aditya Sanghi, Ali Mahdavi Amiri, Ghassan Hamarneh
Affiliations: 1Autodesk Research, 2School of Computing Science, Simon Fraser University; 2School of Computing Science, Simon Fraser University; 1Autodesk Research
Conference: iclr 2024 (main track)
Keywords: one-shot segmentation;computer vision;text-to-image models;stable diffusion;cross attention
Decision: Poster
Title: STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
Authors: Pum Jun Kim, Seojun Kim, Jaejun Yoo
Affiliations: Ulsan National Institute of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Generative Models;Video Generative Models;Evaluation;Fidelity;Diversity;Assessment
Decision: Poster
Title: AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
Authors: Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao
Affiliations: University of Wisconsin–Madison; University of California, Davis; USC
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Jailbreak Attack;Adversarial Attack
Decision: Poster
Title: Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Authors: Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J Black, Adrian Weller, Bernhard Schoelkopf
Affiliations: Mila, Université de Montréal; University of Tübingen; Max Planck Institute for Intelligent Systems - Tübingen; ETH Zürich; University of Cambridge
Conference: iclr 2024 (main track)
Keywords: Parameter-efficient finetuning;orthogonal;Butterfly matrix
Decision: Poster
Title: Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Authors: Kejun Tang, Jiayu Zhai, Xiaoliang Wan, Chao Yang
Affiliations: PKU-Changsha Institute for Computing and Digital Economy; Department of Mathematics and Center for Computation & Technology, Louisiana State University; School of Mathematical Sciences, Peking University & PKU-Changsha Institute for Computing and Digital Economy; Institute of Mathematical Sciences, ShanghaiTech University
Conference: iclr 2024 (main track)
Keywords: adversarial adaptive sampling;optimal transport;neural network approximation of PDEs
Decision: Poster
Title: Removing Biases from Molecular Representations via Information Maximization
Authors: Chenyu Wang, Sharut Gupta, Caroline Uhler, Tommi Jaakkola
Affiliations: Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology; Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard; Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard; Laboratory for Information and Decision Systems, Massachusetts Institute of Technology; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Molecular Representation;Batch Effect;Contrastive Learning;Information Maximization;Drug Discovery
Decision: Poster
Title: BooookScore: A systematic exploration of book-length summarization in the era of LLMs
Authors: Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
Affiliations: University of Massachusetts Amherst; Princeton University; Allen Institute for AI
Conference: iclr 2024 (main track)
Keywords: summarization;evaluation;long context;prompting;LLM
Decision: Oral
Title: Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Authors: Jeff Guo, Philippe Schwaller
Affiliations: Laboratory of Artificial Chemical Intelligence (LIAC), Institut des Sciences et Ingénierie Chimiques, National Centre of Competence in Research (NCCR) Catalysis, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Conference: iclr 2024 (main track)
Keywords: Molecular generative models;reinforcement learning;natural language processing;drug discovery;sample-efficiency;explainability
Decision: Poster
Title: Provable Compositional Generalization for Object-Centric Learning
Authors: Thaddäus Wiedemer, Jack Brady, Alexander Panfilov, Attila Juhos, Matthias Bethge, Wieland Brendel
Affiliations: University of Tübingen, Tübingen AI Center; University of Tübingen, Max Planck Institute for Intelligent Systems, Tübingen AI Center; Max Planck Institute for Intelligent Systems, ELLIS Institute Tübingen
Conference: iclr 2024 (main track)
Keywords: compositional generalization;identifiability;object-centric learning;generalization;OOD generalization;unsupervised learning;slot attention;disentanglement;autoencoders;representation learning
Decision: Oral
Title: You Only Query Once: An Efficient Label-Only Membership Inference Attack
Authors: Yutong Wu, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang
Affiliations: Nanyang Technological University; Chongqing University; Zhejiang University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Machine learning;Membership Inference Attack;Computer Vision
Decision: Poster
Title: Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
Authors: Hamidreza Almasi, Harsh Mishra, Balajee Vamanan, Sathya N. Ravi
Affiliations: Department of Computer Science, University of Illinois Chicago
Conference: iclr 2024 (main track)
Keywords: Robust;Aggregation;Distributed;Training;Failure;Augmented;Byzantine;Resilience
Decision: Poster
Title: SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
Authors: Hongwei Ren, Yue ZHOU, Xiaopeng LIN, Yulong Huang, Haotian FU, Jie Song, Bojun Cheng
Affiliations: The Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2024 (main track)
Keywords: Spiking Neural Betwork;Point Cloud;Event Camera;Action Recognition
Decision: Spotlight
Title: Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Authors: Xiaolin Sun, Zizhan Zheng
Affiliations: Department of Computer Science, Tulane University, New Orleans, LA 70118
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Robustness;Adversarial Attack;Adversarial Defense
Decision: Poster
Title: Proper Laplacian Representation Learning
Authors: Diego Gomez, Michael Bowling, Marlos C. Machado
Affiliations: Department of Computing Science, University of Alberta, Alberta Machine Intelligence Institute (Amii) ∗Canada CIFAR AI Chair; Department of Computing Science, University of Alberta, Alberta Machine Intelligence Institute (Amii)
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;Graph Laplacian;Representation learning;Augmented Lagrangian optimization;Hyperparameter robustness
Decision: Poster
Title: EQA-MX: Embodied Question Answering using Multimodal Expression
Authors: Md Mofijul Islam, Alexi Gladstone, Riashat Islam, Tariq Iqbal
Affiliations: McGill University, Mila, Quebec AI Institute; University of Virginia; University of Virginia, Amazon GenAI
Conference: iclr 2024 (main track)
Keywords: multimodal representation learning;visual-language models;embodied question answering
Decision: Spotlight
Title: Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
Authors: Shaofeng Zhang, Jinfa Huang, Qiang Zhou, zhibin wang, Fan Wang, Jiebo Luo, Junchi Yan
Affiliations: Department of CSE & MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Alibaba Group; INF Tech Co., Ltd.; University of Rochester
Conference: iclr 2024 (main track)
Keywords: Diffusion models;image outpainting
Decision: Poster
Title: TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
Authors: Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Zhang, JUN ZHOU
Affiliations: Ant Group, Hangzhou, China; Tsinghua University, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Time Series Forecasting;Mixing Networks
Decision: Poster
Title: Cauchy-Schwarz Divergence Information Bottleneck for Regression
Authors: Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, Jose Principe
Affiliations: Brookhaven National Laboratory; NORCE Norwegian Research Centre; Vrije Universiteit Amsterdam; University of Florida; UiT - The Arctic University of Norway
Conference: iclr 2024 (main track)
Keywords: Information Bottleneck;Cauchy-Schwarz Divergence;Regression
Decision: Poster
Title: Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Authors: Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Du
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Paul G. Allen School of Computer Science and Engineering, University of Washington
Conference: iclr 2024 (main track)
Keywords: Offline Reinforcement Learning;Return-Conditioned Supervised Learning;Bellman Completeness;Trajectory Stitching
Decision: Poster
Title: Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
Authors: Fabian Akkerman, Julius Luy, Wouter van Heeswijk, Maximilian Schiffer
Affiliations: Munich Data Science Institute, Technical University of Munich (85748 Garching, Germany); School of Management, Technical University of Munich (80333 Munich, Germany); University of Twente (7500 AE Enschede, The Netherlands)
Conference: iclr 2024 (main track)
Keywords: Structured large discrete action space;Reinforcement learning;Neighborhood search
Decision: Poster
Title: CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
Authors: Sreyan Ghosh, Ashish Seth, Sonal Kumar, Utkarsh Tyagi, Chandra Kiran Evuru, Ramaneswaran S, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha
Conference: iclr 2024 (main track)
Keywords: audio;audio-language;compositional reasoning
Decision: Poster
Title: CPPO: Continual Learning for Reinforcement Learning with Human Feedback
Authors: Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, HUI WANG, Ruifeng Xu
Affiliations: Shenzhen Institutes of Advanced Technology; Harbin Institute of Technology (Shenzhen) and Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies; Harbin Institute of Technology (Shenzhen); King’s College London; Peng Cheng Laboratory
Conference: iclr 2024 (main track)
Keywords: lifelong learning;reinforcement learning;human feedback;proximal policy optimization
Decision: Poster
Title: Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Authors: Xueyang Tang, Song Guo, Jie ZHANG, Jingcai Guo
Affiliations: The Hong Kong University of Science and Technology; The Hong Kong Polytechnic University
Conference: iclr 2024 (main track)
Keywords: Personalized Federated Learning;Invariant Learning;Causality;Out-of-distribution Generalization;Shortcut Learning
Decision: Poster
Title: CoBIT: A Contrastive Bi-directional Image-Text Generation Model
Authors: Haoxuan You, Xiaoyue Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu
Affiliations: UCLA; Google Research; Columbia University
Conference: iclr 2024 (main track)
Keywords: Contrastive Pre-training;Vision-Language;Text-to-Image Generation;Auto-regressive Model.
Decision: Poster
Title: R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
Authors: Jiayu Xiao, Henglei Lv, Liang Li, Shuhui Wang, Qingming Huang
Affiliations: Key Lab of Intelligent Information Processing, ICT, CAS, Beijing, China; Peng Cheng Laboratory, Shenzhen, China; Key Lab of Intelligent Information Processing, ICT, CAS, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Key Lab of Intelligent Information Processing, ICT, CAS, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Peng Cheng Laboratory, Shenzhen, China
Conference: iclr 2024 (main track)
Keywords: Stable Diffusion;training-free;grounded text-to-image generation;controllable generation
Decision: Poster
Title: OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Authors: Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Gao Peng, Yu Qiao, Ping Luo
Affiliations: OpenGVLab, Shanghai AI Laboratory, The University of Hong Kong; OpenGVLab, Shanghai AI Laboratory; The University of Hong Kong; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Large Language Model Compression;Differentiable Quantization
Decision: Spotlight
Title: Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
Authors: Seungone Kim, Jamin Shin, yejin cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Ryan, S Shin, Sungdong Kim, James Thorne, Minjoon Seo
Conference: iclr 2024 (main track)
Keywords: automatic evaluation;large language models;llm-as-a-judge
Decision: Poster
Title: Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Authors: Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
Conference: iclr 2024 (main track)
Keywords: Deepfake Detection;Backdoor Attack
Decision: Spotlight
Title: DiffEnc: Variational Diffusion with a Learned Encoder
Authors: Beatrix M. G. Nielsen, Anders Christensen, Andrea Dittadi, Ole Winther
Affiliations: Technical University of Denmark, University of Copenhagen, Copenhagen University Hospital; Technical University of Denmark, Helmholtz AI, Munich; Technical University of Denmark; Helmholtz AI, Munich, Max Planck Institute for Intelligent Systems
Conference: iclr 2024 (main track)
Keywords: DDPM;diffusion;image generation;encoder
Decision: Poster
Title: Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking
Authors: Nikhil Prakash, Tamar Shaham, Tal Haklay, Yonatan Belinkov, David Bau
Affiliations: MIT CSAIL; Technion – IIT; Northeastern University
Conference: iclr 2024 (main track)
Keywords: Mechanistic Interpretability;Fine-Tuning;Entity Tracking;Mechanisms
Decision: Poster