A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
Comments accepted at the 2023 Conference on Neural Information Processing Systems (NeurIPS 2023); cf. https://openreview.net/forum?id=nrbR2F29vU
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Object-centric Learning with Cyclic Walks between Parts and Whole
Comments Accepted by NeurIPS 2023
Energy Transformer
Journal ref 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
Comments Accepted to Conference on Neural Information Processing Systems (NeurIPS) 2023. 20 pages, 15 figures. Code: https://github.com/yandex-research/DVAR
On Learning Necessary and Sufficient Causal Graphs
Comments Advances in Neural Information Processing Systems 37 (Spotlight)
Generalization Properties of NAS under Activation and Skip Connection Search
Comments Accepted in NeurIPS 2022
Prioritizing Samples in Reinforcement Learning with Reducible Loss
Comments NeurIPS 2023
Evaluating histopathology transfer learning with ChampKit
Comments Submitted to NeurIPS 2022 Track on Datasets and Benchmarks. Source code available at https://github.com/kaczmarj/champkit
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
Comments Accepted by NeurIPS 2023
Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT
Comments 11 pages, 6 figures, submitted to NeurIPS 23
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
Journal ref NeurIPS 2023
AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge
Comments NeurIPS AI For Science Workshop 2023. 11 pages, 2 figures
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
Comments 24 pages, 1 figure, to appear in Advances in Neural Information Processing Systems 37 (NeurIPS 2023)
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs
Comments Accepted to NeurIPS 2023 Datasets and Benchmarks Track
Identification of Nonlinear Latent Hierarchical Models
Comments NeurIPS 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values
Comments Camera ready version (NeurIPS 2023)
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation
Comments To appear at NeurIPS 2023
Structural Similarities Between Language Models and Neural Response Measurements
Comments NeurReps@NeurIPS 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Comments 32 pages, 10 figures, 24 tables. Accepted to NeurIPS 2023
On the Pareto Front of Multilingual Neural Machine Translation
Comments NeurIPS 2023
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
Journal ref Advances in Neural Information Processing Systems 36 (2023)
Learning List-Level Domain-Invariant Representations for Ranking
Comments NeurIPS 2023. Comparison to v1: revised presentation and proof of Corollary 4.9
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Comments NeurIPS 2023
Causal Interpretation of Self-Attention in Pre-Trained Transformers
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023). arXiv admin note: text overlap with arXiv:2210.10621
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Comments NeurIPS 2023. Project page at https://binhuixie.github.io/annotator-web/
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents
Comments NeurIPS 2023 camera-ready
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
Comments Accepted by NeurIPS 2023
Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds
Comments 4 pages, 3 figures, accepted at NeurIPS 2023 (Machine Learning and the Physical Sciences Workshop)
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
Comments This work has been accepted by NeurIPS 2023
Zephyr : Stitching Heterogeneous Training Data with Normalizing Flows for Photometric Redshift Inference
Comments 10 pages, 5 figures, accepted to NeurIPS 2023 workshop on Machine Learning and the Physical Sciences
