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23 Results
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Workshop
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Decision-aware uncertainty-calibrated deep learning for robust energy system operation Christopher Yeh · Nicolas Christianson · Steven Low · Adam Wierman · Yisong Yue |
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Poster
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Re-calibrating Feature Attributions for Model Interpretation Peiyu Yang · NAVEED AKHTAR · Zeyi Wen · Mubarak Shah · Ajmal Mian |
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Poster
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Wed 7:30 |
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference Benfeng Xu · Quan Wang · Zhendong Mao · Yajuan Lyu · Qiaoqiao She · Yongdong Zhang |
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Poster
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Tue 7:30 |
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers Zonglin Li · Chong You · Srinadh Bhojanapalli · Daliang Li · Ankit Singh Rawat · Sashank Reddi · Ke Ye · Felix Chern · Felix Yu · Ruiqi Guo · Sanjiv Kumar |
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Poster
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Prototypical Calibration for Few-shot Learning of Language Models Zhixiong Han · Yaru Hao · Li Dong · Yutao Sun · Furu Wei |
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Poster
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Calibrating the Rigged Lottery: Making All Tickets Reliable Bowen Lei · Ruqi Zhang · Dongkuan Xu · Bani Mallick |
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Poster
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Mon 7:30 |
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models Guande He · Jianfei Chen · Jun Zhu |
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Poster
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Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes Zecheng Hao · Jianhao Ding · Tong Bu · Tiejun Huang · Zhaofei Yu |
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Poster
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Tue 7:30 |
Beyond calibration: estimating the grouping loss of modern neural networks Alexandre Perez-Lebel · Marine Le Morvan · Gael Varoquaux |
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Poster
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Wed 2:30 |
Calibrating Transformers via Sparse Gaussian Processes Wenlong Chen · Yingzhen Li |
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Poster
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Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks Zhen Lin · Shubhendu Trivedi · Jimeng Sun |
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Workshop
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Enabling Calibration In The Zero-Shot Inference of Large Vision-Language Models Will LeVine · Benjamin Pikus · Pranav Raja · Fernando Amat |