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Workshop
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Correlational Lagrangian Schrodinger Bridge: Learning Dynamics with Population-Level Regularization
Yuning You · Ruida Zhou · Yang Shen
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Workshop
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Relative Representations: Topological and Geometric Perspectives
Alejandro García-Castellanos · Giovanni Luca Marchetti · Danica Kragic · Martina Scolamiero
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Workshop
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Topology Preserving Regularization for Independent Training of Inter-operable Models
Nicolas Zilberstein · Akshay Malhotra · Shahab Hamidi-Rad · Yugeswar Deenoo
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Workshop
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Adaptive Policy Regularization for Offline-to-Online Reinforcement Learning in HVAC Control
Hsin-Yu Liu · Bharathan Balaji · Rajesh Gupta · Dezhi Hong
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Workshop
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Improving Deep Learning Speed and Performance through Synaptic Neural Balance
Antonios Alexos · ian domingo · Pierre Baldi
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Poster
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Thu 11:00
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Improving Deep Learning Optimization through Constrained Parameter Regularization
Jörg Franke · Michael Hefenbrock · Gregor Koehler · Frank Hutter
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Workshop
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Beyond the Binary: Capturing Diverse Preferences With Reward Regularization
Vishakh Padmakumar · Chuanyang Jin · Hannah Rose Kirk · He He
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Poster
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Thu 11:00
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Label Alignment Regularization for Distribution Shift
Ehsan Imani · Guojun Zhang · Runjia Li · Jun Luo · Pascal Poupart · Philip Torr · Yangchen Pan
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Poster
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Wed 16:30
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Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
Zih-Syuan Huang · Ching-pei Lee
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Poster
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Fri 11:00
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PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
Yao Ni · Shan Zhang · Piotr Koniusz
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Poster
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SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization
Zixuan Chen · Ze Ji · Jing Huo · Yang Gao
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Poster
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Thu 16:30
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Distributional Reinforcement Learning with Regularized Wasserstein Loss
Ke Sun · Yingnan Zhao · Wulong Liu · Bei Jiang · Linglong Kong
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