Identifying AGN host galaxies with convolutional neural networks
Comments 6 pages, 2 figures. Accepted to the 2022 NeurIPS conference ML4PS workshop
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
Comments Published on NeurIPS 2022
The effects of gender bias in word embeddings on depression prediction
Comments accepted to and published at "A Participatory Approach to AI for Mental Health (PAI4MH)" workshop, co-located with NeurIPS 2022
Signal Processing for Implicit Neural Representations
Comments Advances in Neural Information Processing Systems (NeurIPS), 2022
EpiGRAF: Rethinking training of 3D GANs
Comments NeurIPS 2022
Amortized Inference for Causal Structure Learning
Comments NeurIPS 2022, fixed formatting of Figure 5
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Comments Accepted to NeurIPS Benchmark & Data Set Track
Journal ref 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks
Tensions Between the Proxies of Human Values in AI
Comments Contributed Talk, NeurIPS 2022 Workshop on Algorithmic Fairness through the Lens of Causality and Privacy; To be published in 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
MABSplit: Faster Forest Training Using Multi-Armed Bandits
Comments Published at NeurIPS 2022, 30 pages
Continual Learning with Evolving Class Ontologies
Comments NeurIPS 2022; Website: https://linzhiqiu.github.io/papers/leco/
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
Comments NeurIPS 2021, Track on Datasets and Benchmarks. Project page: https://tbv-dataset.github.io/
Reinforcement Learning in System Identification
Comments Accepted in Neurips Deep Reinforcement Learning Workshop 2022: https://openreview.net/forum?id=fGcbpWQIJZV
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
Comments Accepted at Neurips 2022
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Comments Published at 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. 31 Pages, 14 figures
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Comments Accepted at NeurIPS 2022
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Comments NeurIPS 2022 Temporal Graph Learning Workshop
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
Journal ref 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety
Comments ML Safety Workshop, NeurIPS 2022
Efficiently Moving Instead of Reweighting Collider Events with Machine Learning
Comments 7 pages, 3 figures. Presented at the Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS)
Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data
Comments Accepted for publication at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Workshop on Learning Meaningful Representations of Life (LMRL)
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe
Comments Presented at the NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research. 9 pages, 3 figures, 4 tables
A Neural ODE Interpretation of Transformer Layers
Journal ref Published at the DLDE Workshop in NeurIPS 2022
Sufficient conditions for non-asymptotic convergence of Riemannian optimisation methods
Comments Paper accepted at the OPT-ML Workshop, NeurIPS 2022
DISCO: Adversarial Defense with Local Implicit Functions
Comments Accepted to Neurips 2022
Modeling halo and central galaxy orientations on the SO(3) manifold with score-based generative models
Comments Accepted as extended abstract at Machine Learning and the Physical Sciences workshop, NeurIPS 2022
Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery
Comments 4 pages, 4 figures, Submitted to Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network
Comments 1st place solution for stage1 and Core Transfer in the Weather4Cast competition on NeurIPS 22
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Comments 32 pages, 4 figures, accepted at NeurIPS 2022
Globally Gated Deep Linear Networks
Journal ref NeurIPS 2022
SegViT: Semantic Segmentation with Plain Vision Transformers
Comments 9 Pages, NeurIPS 2022
