Optimization

Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration ICCV 2023 CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data RSS 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 Classically Approximating Variational Quantum Machine Learning with Random Fourier Features ICLR 2023 CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NeurIPS 2023 Closing the gap between the upper bound and lower bound of Adam's iteration complexity NeurIPS 2023 Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023 Cluster Explanation via Polyhedral Descriptions ICML 2023 Clustering What Matters: Optimal Approximation for Clustering with Outliers AAAI 2023 CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure AutoML 2023 Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D ICML 2023 Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation ACL 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023 CoLLiE: Collaborative Training of Large Language Models in an Efficient Way EMNLP 2023 Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks AAAI 2023 Color Backdoor: A Robust Poisoning Attack in Color Space CVPR 2023 Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023 CoMFLP: Correlation Measure Based Fast Search on ASR Layer Pruning Interspeech 2023 Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NeurIPS 2023 Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms IJCAI 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023