PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
Comments NeurIPS 2023; Project page https://frozenburning.github.io/projects/primdiffusion/ Code available at https://github.com/FrozenBurning/PrimDiffusion
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
Comments 5 pages, 1 figure. Presented at NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning
Causality and Explainability for Trustworthy Integrated Pest Management
Comments Accepted at NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems
Activity Grammars for Temporal Action Segmentation
Comments Accepted to NeurIPS 2023
Coherent energy and force uncertainty in deep learning force fields
Comments Presented at Advancing Molecular Machine Learning - Overcoming Limitations [ML4Molecules], ELLIS workshop, VIRTUAL, December 8, 2023, unofficial NeurIPS 2023 side-event
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
Comments The paper of Af-DCD is accepted to NeurIPS 2023. Code and models are available at https://github.com/OSVAI/Af-DCD
Understanding the Role of Optimization in Double Descent
Comments NeurIPS Workshop 2023 Optimization for Machine Learning
FoMo Rewards: Can we cast foundation models as reward functions?
Comments Accepted to NeurIPS FMDM workshop
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs
Comments Poster at "NeurIPS 2023 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2023)"
Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study
Comments ATTRIB: Workshop on Attributing Model Behavior at Scale at NeurIPS 2023
Efficient LLM Inference on CPUs
Comments NeurIPS'2023 on Efficient Natural Language and Speech Processing
Inverse distance weighting attention
Comments Associative Memory & Hopfield Networks Workshop at NeurIPS 2023
How (not) to ensemble LVLMs for VQA
Comments 4th I Can't Believe It's Not Better Workshop (co-located with NeurIPS 2023)
ACE: A fast, skillful learned global atmospheric model for climate prediction
Comments Accepted at Tackling Climate Change with Machine Learning: workshop at NeurIPS 2023
Kernel quadrature with randomly pivoted Cholesky
Comments 19 pages, 3 figures; NeurIPS 2023 (spotlight), camera-ready version
Emergent Correspondence from Image Diffusion
Comments NeurIPS 2023. Project page: https://diffusionfeatures.github.io
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker
Comments NeurIPS 2023 Spotlight
Temporal Robustness against Data Poisoning
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds
Comments 30 pages, accepted as an oral presentation at the Workshop on Symmetry and Geometry in Neural Representations at NeurIPS 2023
Physical Symbolic Optimization
Comments 6 pages, 2 figures, 1 table. Accepted to NeurIPS 2023, Machine Learning for Physical Sciences workshop
Low-shot Object Learning with Mutual Exclusivity Bias
Comments Accepted at NeurIPS 2023, Datasets and Benchmarks Track. Project website https://ngailapdi.github.io/projects/lsme/
FlexModel: A Framework for Interpretability of Distributed Large Language Models
Comments 14 pages, 8 figures. To appear at the Socially Responsible Language Modelling Research (SoLaR) Workshop, 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Comments NeurIPS 2023 Workshop on Attributing Model Behavior at Scale
A unified framework for information-theoretic generalization bounds
Comments 19 pages; final version accepted to Neural Information Processing Systems
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
Comments NeurIPS 2023
Search Strategies for Self-driving Laboratories with Pending Experiments
Comments Accepted at NeurIPS 2023, AI4Mat
Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data
Comments Machine Learning for Audio Workshop, NeurIPS 2023
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning
Comments NeurIPS 2023 Workshop on Diffusion Models
Diffused Task-Agnostic Milestone Planner
Comments 37th Conference on Neural Information Processing Systems
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Comments NeurIPS 2023
