Gradient Informed Proximal Policy Optimization
Comments 27 pages, NeurIPS 2023 Conference
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Deep Learning with Physics Priors as Generalized Regularizers
Comments 8 pages main text, 13 pages supplemental materials, title of the workshop at NeurIPS 2023: AI for Scientific Discovery: From Theory to Practice
Representational constraints underlying similarity between task-optimized neural systems
Comments presented at UniReps, NeurIPS 2023
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Comments NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World (RealML)
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
Comments 5 pages, submitted to the "Machine Learning and the Physical Sciences" NeurIPS 2023 Workshop
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data
Comments Published at NeurIPS 2023 Workshop on Backdoors in Deep Learning: The Good, the Bad, and the Ugly
OverPrompt: Enhancing ChatGPT through Efficient In-Context Learning
Comments NeurIPS 2023 R0-FoMo Workshop
Predicting the Initial Conditions of the Universe using a Deterministic Neural Network
Comments Camera ready version for NeurIPS 2023 AI for Science workshop https://ai4sciencecommunity.github.io/neurips23.html
Data Portraits: Recording Foundation Model Training Data
Comments NeurIPS 2023 Datasets and Benchmarks
Distributed Inference and Fine-tuning of Large Language Models Over The Internet
Comments Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2023. 20 pages, 3 figures
Characteristic Circuits
Comments Published at NeurIPS 2023
$ρ$-Diffusion: A diffusion-based density estimation framework for computational physics
Comments 6 pages, 2 figures, accepted for publication at the NeurIPS 2023 workshop "Machine Learning and the Physical Sciences"
3DGEN: A GAN-based approach for generating novel 3D models from image data
Comments Submitted to NeurIPS 2022 Machine Learning for Creativity and Design Workshop
Beyond Top-Class Agreement: Using Divergences to Forecast Performance under Distribution Shift
Comments Workshop on Distribution Shifts, 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
Comments NeurIPS 2023; Webpage - http://www.cs.umd.edu/~gauravsh/vdp.html
On a Foundation Model for Operating Systems
Comments Machine Learning for Systems Workshop at 37th NeurIPS Conference, 2023, New Orleans, LA, USA
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction
Comments NeurIPS 2023 AI for Science Workshop
Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings
Comments Accepted for Machine Learning and the Physical Sciences Workshop (submission 69) at NeurIPS 2023; for codes, see https://github.com/ML4GW/summer-projects-2023/blob/neurips-2023/symmetry-informed-flows/README.md
Language Model Alignment with Elastic Reset
Comments Published at NeurIPS 2023
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
Comments A Preprint. Submitted to Tackling Climate Change with Machine Learning: workshop at NeurIPS 2023
Journal ref NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
Comments Accept By NIPS 2023
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
Comments Accepted to NeurIPS 2023
Visual Instruction Tuning
Comments NeurIPS 2023 Oral; project page: https://llava-vl.github.io/
Robust Phi-Divergence MDPs
Journal ref Advances in Neural Information Processing Systems (Neurips), 2022
Neural Weight Step Video Compression
Comments Accepted to the pre-registration workshop at NeurIPS 2021
Journal ref NeurIPS 2021 workshop in pre-registration
Anytime-Valid Inference for Multinomial Count Data
Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS2022)
Improved Frequency Estimation Algorithms with and without Predictions
Comments NeurIPS 2023
Cosmological Field Emulation and Parameter Inference with Diffusion Models
Comments 7 pages, 5 figures, Accepted at the Machine Learning and the Physical Sciences workshop, NeurIPS 2023
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
Comments Accepted in NeurIPS 2023 Workshop on Socially Responsible Language Modelling Research (SoLaR)
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
Comments R0-FoMo: Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models at NeurIPS 2023
