Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
Comments NeurIPS 2023 (Spotlight)
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Bias in Evaluation Processes: An Optimization-Based Model
Comments The conference version of this paper appears in NeurIPS 2023
Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing
Comments Accepted to NeurIPS 2021 Workshop on Cooperative AI
Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
Comments Accepted at NeurIPS 2023
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation
Comments Accepted by NeurIPS-2023
CQM: Curriculum Reinforcement Learning with a Quantized World Model
Comments Accepted to NeurIPS 2023
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Comments accepted to Neurips 2023
RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments
Comments NeurIPS 2023 D&B accepted. See our project page for more details: https://reasonio.github.io/
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning
Comments Accepted by NeurIPS 2023
Beyond MLE: Convex Learning for Text Generation
Comments NeurIPS 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
Comments 25 pages, 13 figures, NeurIPS 2023
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
Comments 36 pages, 12 figures, 5 tables. NeurIPS 2023. Code available at https://github.com/MLD3/CounterfactualAnnot-SemiOPE
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning
Comments NeurIPS 2023
Exploring Question Decomposition for Zero-Shot VQA
Comments NeurIPS 2023 Camera Ready
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
Comments Accepted by NeurIPS 2023
On the Identifiability and Interpretability of Gaussian Process Models
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Towards Continually Learning Application Performance Models
Comments Presented at Workshop on Machine Learning for Systems at 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
Comments Presented at NeurIPS 2023 (Datasets & Benchmarks). *Hansen & Seedat contributed equally
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Comments 24 pages, 13 figures, to be published in NeurIPS 2023
GNeSF: Generalizable Neural Semantic Fields
Comments NeurIPS 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Comments accepted by NeurIPS 2023
Harnessing the Power of Choices in Decision Tree Learning
Comments NeurIPS 2023
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
Adaptive whitening with fast gain modulation and slow synaptic plasticity
Comments NeurIPS 2023 Spotlight; 18 pages, 8 figures
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
Comments Camera Ready for NeurIPS 2023
Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Comments Presented at NeurIPS 2023
Improving Multimodal Datasets with Image Captioning
Comments Accepted at NeurIPS 2023 Datasets & Benchmarks
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Comments Accepted to NeurIPS 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
Comments NeurIPS 2023
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory
Comments NeurIPS 2023 camera-ready; 51 pages
