SEENN: Towards Temporal Spiking Early-Exit Neural Networks
Comments NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Comments Accepted at NeurIPS 2023. Model Service to be appear as Google Vertex AI - Instant Tuning (https://cloud.google.com/vertex-ai/docs/generative-ai/image/fine-tune-model). The link to demo video: https://www.youtube.com/watch?v=Q2xQ91D_dhM&t=2071s&ab_channel=GoogleCloud
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Comments NeurIPS 2023
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
Comments In Proceedings of NeurIPS 2023. 10 pages (+4 references, +3 appendix)
Mitigating the Effect of Incidental Correlations on Part-based Learning
Comments Accepted in 37th Conference on Neural Information Processing Systems (NeurIPS'2023)
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation
Comments NeurIPS 2023
Tight Bounds for Volumetric Spanners and Applications
Comments NeurIPS 2023
Type-to-Track: Retrieve Any Object via Prompt-based Tracking
Comments Accepted at NeurIPS 2023. Project page: https://uark-cviu.github.io/Type-to-Track/
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
Comments NeurIPS 2023 oral
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Comments accepted to NeurIPS 2023
FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
Comments NeurIPS 2023 Datasets and Benchmarks Track
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
Comments To appear at Neural Information Processing Systems (NeurIPS) 2023
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes
Comments Full version of the workshop paper at 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems
Max-Sliced Mutual Information
Comments Accepted at NeurIPS 2023
Compositional Sculpting of Iterative Generative Processes
Comments Extended version of NeurIPS 2023 paper
Uncovering Neural Scaling Laws in Molecular Representation Learning
Comments 23 pages; accepted to NeurIPS 2023 Datasets and Benchmarks
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Comments 20 pages, 7 figures, 7 tables, accepted at NeurIPS 2023 Datasets and Benchmarks Track
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning
Comments Accepted at NeurIPS 2023
LLM-Pruner: On the Structural Pruning of Large Language Models
Comments Accepted at NeurIPS 2023
Fair Canonical Correlation Analysis
Comments Accepted for publication at NeurIPS 2023, 31 Pages, 14 Figures
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Comments Neurips 2023. The code page: https://github.com/wangkai930418/DPL
On the Power of SVD in the Stochastic Block Model
Comments Accepted by NeurIPS 2023
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
Comments Accepted to NeurIPS 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation
Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)
A Geometric Perspective on Autoencoders
Comments 10 pages, 13 figures, a summary of the contents presented in publications from NeurIPS 2021, ICLR 2022, and TAG-ML at ICML 2023
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
Comments Accepted at the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023
MoVie: Visual Model-Based Policy Adaptation for View Generalization
Comments Accepted in NeurIPS 2023. The first two authors contribute equally
Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning
Comments NeurIPS 2022 Workshop
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
Journal ref Advances in Neural Information Processing Systems, 35 (2022) 21792-21804
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
Comments NeurIPS 2022
