conftrace_

classification accuracy

55 papers

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Co-occurring keywords

bayesian inference (1907) transfer learning (5449) differential privacy (1016) generative model (2892) boosting algorithm (78) distance metric (84) deep neural network (1803) ensemble method (564) loss function (462) synthetic datum (765)

Papers

Identity Verification from Human Scent using Channel Representation of 2D Gas Chromatography-Mass Spectrometry Data WACV 2026
Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint) AAAI 2026
Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy WACV 2025
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method AAAI 2025
Graphcode: Learning from multiparameter persistent homology using graph neural networks NIPS 2024
Soft ascent-descent as a stable and flexible alternative to flooding NIPS 2024
Towards Human-AI Complementarity with Prediction Sets NIPS 2024
On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024
Cut your Losses with Squentropy ICML 2023
What Can We Learn by Predicting Accuracy? WACV 2023
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier NIPS 2023
North Sámi Dialect Identification with Self-supervised Speech Models INTERSPEECH 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data NIPS 2023
On the Capacity Limits of Privileged ERM AISTATS 2023
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning INTERSPEECH 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection ACL 2022
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification JMLR 2022
Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge NIPS 2022
Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data ICML 2022
Do Image Classifiers Generalize Across Time? ICCV 2021
A Closer Look at Rotation-Invariant Deep Point Cloud Analysis ICCV 2021
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021
Constrained Weight Optimization for Learning Without Activation Normalization WACV 2021