An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Publications
114 results for Fairness, Accountability, Transparency
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
- Natalia Martinez Gil
- Martin Bertran
- et al.
- 2024
- AISTATS 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks
- Georgia Perakis
- Wei Sun
- et al.
- 2024
- AISTATS 2024
Adversarial Robustness of Convolutional Models Learned in the Frequency Domain
- SUBHAJIT CHAUDHURY
- Toshihiko Yamasaki
- 2024
- ICASSP 2024
Fairness-Aware Structured Pruning in Transformers
- Abdelrahman Zayed
- Gonçalo Mordido
- et al.
- 2024
- AAAI 2024
LLMGuard: Guarding against Unsafe LLM Behavior
- Shubh Goyal
- Medha Hira
- et al.
- 2024
- AAAI 2024
Sustainable Computing: Measuring Application Energy Consumption in Kubernetes Environments with Kepler
- Marcelo Amaral
- Sunyanan Choochotkaew
- 2024
- KubeCon EU 2024
Creating an African American-Sounding TTS: Guidelines, Technical Challenges, and Surprising Evaluations
- Claudio Santos Pinhanez
- Raul Fernandez
- et al.
- 2024
- IUI 2024
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
- Qinyi Chen
- Negin Golrezaei
- et al.
- 2023
- NeurIPS 2023
Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023