CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations
Comments Medical Imaging Meets NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Practical Path-based Bayesian Optimization
Comments 6 main pages, 12 with references and appendix. 4 figures, 2 tables. To appear in NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
Journal ref NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
Domain Adaptive Imitation Learning with Visual Observation
Comments Accepted to NeurIPS 2023
A Definition of Continual Reinforcement Learning
Comments NeurIPS 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
Comments NeurIPS 2023
Use Perturbations when Learning from Explanations
Comments NeurIPS 2023; https://github.com/vihari/robust_mlx
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD
Comments Accepted in the NeurIPS 2023 Workshop Heavy Tails in Machine Learning
GFN-SR: Symbolic Regression with Generative Flow Networks
Comments Accepted by the NeurIPS 2023 AI4Science Workshop
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
Comments NeurIPS 2023 Spotlight, first two authors contributed equally
Learning to forecast diagnostic parameters using pre-trained weather embedding
Comments Accepted as a spotlight paper at the NeurIPS 2023 workshop on Tackling Climate Change with Machine Learning
PyNeRF: Pyramidal Neural Radiance Fields
Comments Neurips 2023 Project page: https://haithemturki.com/pynerf/
Deep Equilibrium Based Neural Operators for Steady-State PDEs
Comments NeurIPS 2023
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
Comments NeurIPS 2023
Enhancing Ligand Pose Sampling for Molecular Docking
Comments Published at the Machine Learning for Structural Biology Workshop, NeurIPS 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods
Comments Accepted at NeurIPS 2023 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2023)
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
Comments NeurIPS 2023 camera ready
Large Language Models of Code Fail at Completing Code with Potential Bugs
Comments 27 pages, accepted to NeurIPS 2023
Extensible Prompts for Language Models on Zero-shot Language Style Customization
Comments Accepted by NeurIPS 2023
Accelerating Flow Simulations using Online Dynamic Mode Decomposition
Comments Presented at Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Can semi-supervised learning use all the data effectively? A lower bound perspective
Comments Published in Advances in Neural Information Processing Systems 2023
Combining deep generative models with extreme value theory for synthetic hazard simulation: a multivariate and spatially coherent approach
Comments Accepted at NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning (CCAI)
Automatic Construction of a Korean Toxic Instruction Dataset for Ethical Tuning of Large Language Models
Comments NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning
Comments Accepted in Machine Learning and the Physical Sciences Workshop at NeurIPS 2023; 6 pages, 5 figures
Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling
Comments Accepted to Workshop on Distribution Shifts: New Frontiers with Foundation Models at Neurips 2023
Zero-shot Conversational Summarization Evaluations with small Large Language Models
Comments Accepted at RoF0Mo workshop at Neurips 2023
Enhancing Data-Assimilation in CFD using Graph Neural Networks
Comments Presented at: Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Learning an Effective Evolution Equation for Particle-Mesh Simulations Across Cosmologies
Comments 7 pages, 4 figures, Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Unraveling the Mysteries of Galaxy Clusters: Recurrent Inference Deconvolution of X-ray Spectra
Comments NeurIPS 2023 ML4PS accepted conference abstract
Bayesian Imaging for Radio Interferometry with Score-Based Priors
Comments 10+4 pages, 6 figures, Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Active learning meets fractal decision boundaries: a cautionary tale from the Sitnikov three-body problem
Comments 7+3 pages, 4 figures, Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
