Neural Architecture Search
Automated architecture design
Top Papers
Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum et al.
Automated Design of Agentic Systems
Shengran Hu, Cong Lu, Jeff Clune
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Saaket Agashe, Jiuzhou Han, Shuyu Gan et al.
WebDancer: Towards Autonomous Information Seeking Agency
Jialong Wu, Baixuan Li, Runnan Fang et al.
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew Song, Richard J. Chen, Tong Ding et al.
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool
Chia-Tung Ho, Haoxing Ren, Brucek Khailany
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery
Sukrut Rao, Sweta Mahajan, Moritz Böhle et al.
AgentSquare: Automatic LLM Agent Search in Modular Design Space
Yu Shang, Yu Li, Keyu Zhao et al.
Proteina: Scaling Flow-based Protein Structure Generative Models
Tomas Geffner, Kieran Didi, Zuobai Zhang et al.
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
Siru Ouyang, Wenhao Yu, Kaixin Ma et al.
Local Search GFlowNets
Minsu Kim, Yun Taeyoung, Emmanuel Bengio et al.
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
Jiarui Lu, Bozitao Zhong, Zuobai Zhang et al.
Curriculum reinforcement learning for quantum architecture search under hardware errors
Yash J. Patel, Akash Kundu, Mateusz Ostaszewski et al.
Self-Evolving Multi-Agent Collaboration Networks for Software Development
Yue Hu, Yuzhu Cai, Yaxin Du et al.
An Architecture Search Framework for Inference-Time Techniques
Jon Saad-Falcon, Adrian Lafuente, Shlok Natarajan et al.
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
Pham Vu Tuan Dat, Long Doan, Huynh Thi Thanh Binh
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views
Han Huang, Yulun Wu, Junsheng Zhou et al.
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
Xinyu Shi, Jianhao Ding, Zecheng Hao et al.
CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation
Hui Zhang, Dexiang Hong, Yitong Wang et al.
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy et al.
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
Gianluca Scarpellini, Stefano Fiorini, Francesco Giuliari et al.
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery
Zimian Wei, Peijie Dong, Zheng Hui et al.
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification
Xinyan Liang, Pinhan Fu, Qian Guo et al.
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Thomas Fel, Ekdeep Singh Lubana, Jacob Prince et al.
NARUTO: Neural Active Reconstruction from Uncertain Target Observations
Ziyue Feng, Huangying Zhan, Zheng Chen et al.
Automatic Radiology Reports Generation via Memory Alignment Network
Hongyu Shen, Mingtao Pei, Juncai Liu et al.
CAD-GPT: Synthesising CAD Construction Sequence with Spatial Reasoning-Enhanced Multimodal LLMs
Siyu Wang, Cailian Chen, Xinyi Le et al.
UMBRAE: Unified Multimodal Brain Decoding
Weihao Xia, Raoul de Charette, Cengiz Oztireli et al.
Results of the Big ANN: NeurIPS’23 competition
Harsha Vardhan simhadri, Martin Aumüller, Matthijs Douze et al.
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation
Ce Zhang, Simon Stepputtis, Joseph Campbell et al.
Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces
Chenyangguang Zhang, Alexandros Delitzas, Fangjinhua Wang et al.
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion
Guanyao Wu, Hongming Fu, Jinyuan Liu et al.
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
An Incremental Unified Framework for Small Defect Inspection
Jiaqi Tang, Hao Lu, Xiaogang Xu et al.
P(all-atom) Is Unlocking New Path For Protein Design
Wei Qu, Jiawei Guan, Rui Ma et al.
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
Boyu Gou, Zanming Huang, Yuting Ning et al.
NICP: Neural ICP for 3D Human Registration at Scale
Riccardo Marin, Enric Corona, Gerard Pons-Moll
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
Antonis Antoniades, Yiyi Yu, Joe Canzano et al.
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
Fu Luo, Xi Lin, Yaoxin Wu et al.
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti, Chang Qi, Oleh Lokshyn et al.
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
Miruna Cretu, Charles Harris, Ilia Igashov et al.
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.
Design Principle Transfer in Neural Architecture Search via Large Language Models
Xun Zhou, Xingyu Wu, Liang Feng et al.
SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration
Xu Cao, Takafumi Taketomi
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
Sohyun An, Hayeon Lee, Jaehyeong Jo et al.
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild
Andreas Engelhardt, Amit Raj, Mark Boss et al.
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
Yameng Peng, Andy Song, Haytham Fayek et al.
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
Matthew Kowal, Richard P. Wildes, Kosta Derpanis
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Hongyi He, Longjun Liu, Haonan Zhang et al.
Global-Local Tree Search in VLMs for 3D Indoor Scene Generation
Wei Deng, Mengshi Qi, Huadong Ma
ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems
Xiangyuan Xue, Zeyu Lu, Di Huang et al.
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
Andy Zhou, Kevin Wu, Francesco Pinto et al.
Compositional Generative Inverse Design
Tailin Wu, Takashi Maruyama, Long Wei et al.
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
Yuxian Gu, Qinghao Hu, Haocheng Xi et al.
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang et al.
Generative Flows on Synthetic Pathway for Drug Design
Seonghwan Seo, Minsu Kim, Tony Shen et al.
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li, Yixin Zhu, Yitao Liang et al.
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li, Yingyi Chen, Xuanlong Yu et al.
Unifying Automatic and Interactive Matting with Pretrained ViTs
Zixuan Ye, Wenze Liu, He Guo et al.
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan et al.
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.
Implicit Search via Discrete Diffusion: A Study on Chess
Jiacheng Ye, Zhenyu Wu, Jiahui Gao et al.
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
Andrew Luo, Jacob Yeung, Rushikesh Zawar et al.
Accelerating Neural Field Training via Soft Mining
Shakiba Kheradmand, Daniel Rebain, Gopal Sharma et al.
TopoNets: High performing vision and language models with brain-like topography
Mayukh Deb, Mainak Deb, Apurva Murty
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
Zuozhen Zhang, Junzhong Ji, Jinduo Liu
Rethinking Features-Fused-Pyramid-Neck for Object Detection
Hulin Li
Differentiable Optimization of Similarity Scores Between Models and Brains
Nathan Cloos, Moufan Li, Markus Siegel et al.
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde, Tassilo Wald, Tobias Schumacher et al.
Towards Accurate and Robust Architectures via Neural Architecture Search
Yuwei Ou, Yuqi Feng, Yanan Sun
Understanding and Improving Optimization in Predictive Coding Networks
Nicholas Alonso, Jeffrey Krichmar, Emre Neftci
Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
Yingqing Guo, Yukang Yang, Hui Yuan et al.
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
Minghui Liao, Guojia Wan, Bo Du
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views
Shi-Sheng Huang, Zixin Zou, Yichi Zhang et al.
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
Yuxuan Wang, Xuanyu Yi, Haohan Weng et al.
Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
Zeyuan Ma, Jiacheng Chen, Hongshu Guo et al.
Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling
Feiyang Cai, Chuchu Fan, Stanley Bak
From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
Valérie Costa, Thomas Fel, Ekdeep S Lubana et al.
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation
Muer Tie, Julong Wei, Zhengjun Wang et al.
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Yingtao Zhang, Jialin Zhao, Wenjing Wu et al.
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
Jiaxuan Chen, Yu Qi, Yueming Wang et al.
Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks
Lukas Braun, Erin Grant, Andrew Saxe
Large-Scale Multi-Robot Coverage Path Planning via Local Search
Jingtao Tang, Hang Ma
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search
Haosen SUN, Lujun Li, Peijie Dong et al.
VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models
Chongkai Gao, Zixuan Liu, Zhenghao Chi et al.
Rethinking the role of frames for SE(3)-invariant crystal structure modeling
Yusei Ito, Tatsunori Taniai, Ryo Igarashi et al.
Neural Auto-designer for Enhanced Quantum Kernels
Cong Lei, Yuxuan Du, Peng Mi et al.
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design
Jeff Guo, Philippe Schwaller
NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning
Zhixi Cai, Fucai Ke, Simindokht Jahangard et al.
SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent
Yandan Yang, Baoxiong Jia, Shujie Zhang et al.
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman
A Generalist Intracortical Motor Decoder
Joel Ye, Fabio Rizzoglio, Xuan Ma et al.
Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning
Siyuan Li, Feifan Liu, Lingfei Cui et al.
PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments
rixin zhou, Ding Xia, YI ZHANG et al.
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.
Aaron Spieler, Nasim Rahaman, Georg Martius et al.
Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge
Zhenyi Zhang, Zihan Wang, Yuhao Sun et al.
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel
Artist-Friendly Relightable and Animatable Neural Heads
Yingyan Xu, Prashanth Chandran, Sebastian Weiss et al.