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data distribution

20 papers

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Co-occurring keywords

distribution shift (722) generative model (2892) adversarial example (564) generative adversarial network (1944) diffusion model (3751) learning theory (519) dataset bia (149) model deployment (35) distribution alignment (124) unsupervised anomaly detection (47)

Papers

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NIPS 2024
DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NIPS 2024
Benchmark Transparency: Measuring the Impact of Data on Evaluation NAACL 2024
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness NIPS 2023
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. NIPS 2023
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing ICML 2023
Analyzing Diffusion as Serial Reproduction ICML 2023
Towards Bridging Sample Complexity and Model Capacity AAAI 2022
How to Learn when Data Gradually Reacts to Your Model AISTATS 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation AAAI 2022
Generalized Data Distribution Iteration ICML 2022
How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets AAAI 2021
Adversarial Examples Are Not Bugs, They Are Features NIPS 2019
Learning Generative Adversarial Networks from Multiple Data Sources IJCAI 2019
Generative Kernels for Exponential Families AISTATS 2011