Bayesian Optimisation of Functions on Graphs
Comments NeurIPS 2023. 11 pages, 11 figures, 1 table (29 pages, 31 figures, 1 table including references and appendices)
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Comments NeurIPS 2023. Code available at: https://github.com/pliang279/FactorCL
Towards Label-free Scene Understanding by Vision Foundation Models
Comments NeurIPS 2023
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
Comments NeurIPS 2023
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
Comments NeurIPS 2023 Spotlight
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Comments NeurIPS 2023 camera-ready
Exposing Attention Glitches with Flip-Flop Language Modeling
Comments v2: NeurIPS 2023 camera-ready + data release
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
Comments NeurIPS 2023
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures
Comments in Conference on Neural Information Processing Systems (NeurIPS), 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Comments NeurIPS 2023
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Comments Accepted to NeurIPS 2023
NetHack is Hard to Hack
Comments NeurIPS 2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Comments NeurIPS 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Comments Published at NeurIPS 2023
Inferring the Future by Imagining the Past
Comments NeurIPS 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Comments Accepted for publication at NeurIPS 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
Comments NeurIPS 2023
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Comments Camera Ready for NeurIPS 2023
Trans-Dimensional Generative Modeling via Jump Diffusion Models
Comments 41 pages, 11 figures, 8 tables; NeurIPS 2023
Strategic Data Sharing between Competitors
Comments Accepted to NeurIPS 2023
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Comments In Proceedings of NeurIPS 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
Comments NeurIPS 2023 conference paper
TextDiffuser: Diffusion Models as Text Painters
Comments NeurIPS 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
Comments NeurIPS 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
Comments Camera-ready version for NeurIPS 2023
Optimal approximation using complex-valued neural networks
Comments accepted at NeurIPS 2023
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
Comments Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
On Calibrating Diffusion Probabilistic Models
Comments NeurIPS 2023
Near-optimal learning with average Hölder smoothness
Comments NeurIPS 2023 camera ready version
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification
Comments 8 pages, 2 figures, 3 tables, Accepted at NeurIPS 2023
