DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Comments To appear in NeurIPS 2023
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
OpenAGI: When LLM Meets Domain Experts
Comments In NeurIPS 2023
Object-Centric Slot Diffusion
Comments Accepted to NeurIPS 2023 as a Spotlight paper
SEGA: Instructing Text-to-Image Models using Semantic Guidance
Comments arXiv admin note: text overlap with arXiv:2212.06013 Proceedings of the Advances in Neural Information Processing Systems: Annual Conference on Neural Information Processing Systems (NeurIPS)
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
Comments Accepted at NeurIPS 2023
Tracr: Compiled Transformers as a Laboratory for Interpretability
Comments Presented at NeurIPS 2023 (Spotlight)
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Comments To appear in NeurIPS 2022 Workshop on The Symbiosis of Deep Learning and Differential Equations (DLDE) - II, 12 pages, 5 figures, full paper: arXiv:2306.15969
Numerical influence of ReLU'(0) on backpropagation
Journal ref Advances in Neural Information Processing Systems, Dec 2021, Paris, France
Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
Comments Preliminary version in NeurIPS 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Comments Accepted to NeurIPS 2023 main track
Time-series Generation by Contrastive Imitation
Journal ref In Proc. 35th International Conference on Neural Information Processing Systems (NeurIPS 2021)
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Comments Accepted by NeurIPS 2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
Comments 17 pages, 2 figures, to be published in Neural Information Processing Systems 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Models
Comments Accepted in NeurIPS 2023
AiluRus: A Scalable ViT Framework for Dense Prediction
Comments Accepted by NeurIPS 2023
Combating Bilateral Edge Noise for Robust Link Prediction
Comments Accepted by NeurIPS 2023
Batch Bayesian Optimization for Replicable Experimental Design
Comments Accepted to NeurIPS 2023
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds
Comments Accepted to NeurIPS 2023: Symmetry and Geometry in Neural Representations Workshop
MiliPoint: A Point Cloud Dataset for mmWave Radar
Comments Accepted at NeurIPS 2023 Datasets & Benchmarks
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Comments Appears in: Advances in Neural Information Processing Systems 37 (NeurIPS 2023). 39 pages
Self-Supervised Image Captioning with CLIP
Comments NeurIPS 2023 Self-Supervised Learning Workshop
Lookaround Optimizer: $k$ steps around, 1 step average
Comments Accepted to NeurIPS 2023
Fine-grained Expressivity of Graph Neural Networks
Comments Accepted at NeurIPS 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Comments NeurIPS 2023
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models
Comments NeurIPS 2023
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
Comments NeurIPS 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
Comments Accepted by NeurIPS 2023
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Comments Accepted at NeurIPS'2023, 77 pages, project website: https://www.camel-ai.org, github repository: https://github.com/camel-ai/camel
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Comments NeurIPS 2023
Generating QM1B with PySCF$_{\text{IPU}}$
Comments 15 pages, 7 figures. NeurIPS 2023 Track Datasets and Benchmarks
