Discriminative Feature Feedback with General Teacher Classes
Fuente:
arXiv
Saved in:
| Main Authors: | Oz, Omri Bar, Lechner, Tosca, Sabato, Sivan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Learnability of Distribution Classes with Adaptive Adversaries
by: Lechner, Tosca, et al.
Published: (2025)
by: Lechner, Tosca, et al.
Published: (2025)
On the Computability of Multiclass PAC Learning
by: Gourdeau, Pascale, et al.
Published: (2025)
by: Gourdeau, Pascale, et al.
Published: (2025)
On the Computability of Robust PAC Learning
by: Gourdeau, Pascale, et al.
Published: (2024)
by: Gourdeau, Pascale, et al.
Published: (2024)
Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies
by: Weitzman, Shlomi, et al.
Published: (2024)
by: Weitzman, Shlomi, et al.
Published: (2024)
Disparate Conditional Prediction in Multiclass Classifiers
by: Sabato, Sivan, et al.
Published: (2022)
by: Sabato, Sivan, et al.
Published: (2022)
Score Design for Multi-Criteria Incentivization
by: Kabra, Anmol, et al.
Published: (2024)
by: Kabra, Anmol, et al.
Published: (2024)
Distribution Learnability and Robustness
by: Ben-David, Shai, et al.
Published: (2024)
by: Ben-David, Shai, et al.
Published: (2024)
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment
by: Oz, Zeyneddin, et al.
Published: (2024)
by: Oz, Zeyneddin, et al.
Published: (2024)
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
by: Nori, Milad Khademi, et al.
Published: (2024)
by: Nori, Milad Khademi, et al.
Published: (2024)
Aligning Generative Speech Enhancement with Perceptual Feedback
by: Li, Haoyang, et al.
Published: (2025)
by: Li, Haoyang, et al.
Published: (2025)
Binary and Ternary Quantization Can Enhance Feature Discrimination
by: Lu, Weizhi, et al.
Published: (2025)
by: Lu, Weizhi, et al.
Published: (2025)
Accuracy Improvement of Semi-Supervised Segmentation Using Supervised ClassMix and Sup-Unsup Feature Discriminator
by: Mano, Takahiro, et al.
Published: (2026)
by: Mano, Takahiro, et al.
Published: (2026)
Improving Deep Tabular Learning
by: Sarafian, Sivan, et al.
Published: (2025)
by: Sarafian, Sivan, et al.
Published: (2025)
Class-wise Federated Unlearning: Harnessing Active Forgetting with Teacher-Student Memory Generation
by: Li, Yuyuan, et al.
Published: (2023)
by: Li, Yuyuan, et al.
Published: (2023)
Causal Machine Learning for Moderation Effects
by: Bearth, Nora, et al.
Published: (2024)
by: Bearth, Nora, et al.
Published: (2024)
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
by: Ntelemis, Foivos, et al.
Published: (2022)
by: Ntelemis, Foivos, et al.
Published: (2022)
Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness
by: Rahaman, Md Mushfiqur, et al.
Published: (2025)
by: Rahaman, Md Mushfiqur, et al.
Published: (2025)
Vocoder-Projected Feature Discriminator
by: Kaneko, Takuhiro, et al.
Published: (2025)
by: Kaneko, Takuhiro, et al.
Published: (2025)
Class-Discriminative Attention Maps for Vision Transformers
by: Brocki, Lennart, et al.
Published: (2023)
by: Brocki, Lennart, et al.
Published: (2023)
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning
by: Kaufman, Ilya, et al.
Published: (2024)
by: Kaufman, Ilya, et al.
Published: (2024)
XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis
by: Zexer, Israel, et al.
Published: (2026)
by: Zexer, Israel, et al.
Published: (2026)
When predict can also explain: few-shot prediction to select better neural latents
by: Dabholkar, Kabir, et al.
Published: (2024)
by: Dabholkar, Kabir, et al.
Published: (2024)
First-Order Manifold Data Augmentation for Regression Learning
by: Kaufman, Ilya, et al.
Published: (2024)
by: Kaufman, Ilya, et al.
Published: (2024)
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
by: Gonen, Tal, et al.
Published: (2025)
by: Gonen, Tal, et al.
Published: (2025)
FOSI: Hybrid First and Second Order Optimization
by: Sivan, Hadar, et al.
Published: (2023)
by: Sivan, Hadar, et al.
Published: (2023)
Grounding Generated Videos in Feasible Plans via World Models
by: Ziakas, Christos, et al.
Published: (2026)
by: Ziakas, Christos, et al.
Published: (2026)
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
by: Fadlon, Gal, et al.
Published: (2025)
by: Fadlon, Gal, et al.
Published: (2025)
Generalized Dual Discriminator GANs
by: Chandana, Penukonda Naga, et al.
Published: (2025)
by: Chandana, Penukonda Naga, et al.
Published: (2025)
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
by: Khan, Zaid, et al.
Published: (2024)
by: Khan, Zaid, et al.
Published: (2024)
Data-Driven High-Dimensional Statistical Inference with Generative Models
by: Amram, Oz, et al.
Published: (2025)
by: Amram, Oz, et al.
Published: (2025)
Linear Projections of Teacher Embeddings for Few-Class Distillation
by: Loo, Noel, et al.
Published: (2024)
by: Loo, Noel, et al.
Published: (2024)
Curvature Enhanced Data Augmentation for Regression
by: Sirot, Ilya Kaufman, et al.
Published: (2025)
by: Sirot, Ilya Kaufman, et al.
Published: (2025)
Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions
by: Dabholkar, Kabir V., et al.
Published: (2025)
by: Dabholkar, Kabir V., et al.
Published: (2025)
Deep Image Segmentation via Discriminant Feature Learning
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
Class-constrained t-SNE: Combining Data Features and Class Probabilities
by: Meng, Linhao, et al.
Published: (2023)
by: Meng, Linhao, et al.
Published: (2023)
EEG Based Generative Depression Discriminator
by: Mao, Ziming, et al.
Published: (2024)
by: Mao, Ziming, et al.
Published: (2024)
Out-of-Variable Generalization for Discriminative Models
by: Guo, Siyuan, et al.
Published: (2023)
by: Guo, Siyuan, et al.
Published: (2023)
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
by: Chakrabarty, Surajit, et al.
Published: (2025)
by: Chakrabarty, Surajit, et al.
Published: (2025)
Cross-Class Feature Augmentation for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2023)
by: Kim, Taehoon, et al.
Published: (2023)
Interpretable Generative and Discriminative Learning for Multimodal and Incomplete Clinical Data
by: Belenguer-Llorens, Albert, et al.
Published: (2025)
by: Belenguer-Llorens, Albert, et al.
Published: (2025)
Similar Items
-
On the Learnability of Distribution Classes with Adaptive Adversaries
by: Lechner, Tosca, et al.
Published: (2025) -
On the Computability of Multiclass PAC Learning
by: Gourdeau, Pascale, et al.
Published: (2025) -
On the Computability of Robust PAC Learning
by: Gourdeau, Pascale, et al.
Published: (2024) -
Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies
by: Weitzman, Shlomi, et al.
Published: (2024) -
Disparate Conditional Prediction in Multiclass Classifiers
by: Sabato, Sivan, et al.
Published: (2022)