Papers
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
Mao Li, Kaiqi Jiang, Xinhua Zhang
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Jingyu Yang, Sheng Shen, Huanjing Yue et al.
Impression learning: Online representation learning with synaptic plasticity
Colin Bredenberg, Benjamin Lyo, Eero P. Simoncelli et al.
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal, Assaf Hallak, Steven Dalton et al.
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Vincent Cohen-Addad, David Saulpic, Chris Schwiegelshohn
Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes
Brian Brubach, Nathaniel Grammel, Will Ma et al.
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
shaogao lv, Junhui Wang, Jiankun Liu et al.
Improved Regret Bounds for Tracking Experts with Memory
James Robinson, Mark Herbster
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li, Hongyang Zhang
Improved Transformer for High-Resolution GANs
Long Zhao, Zizhao Zhang, Ting Chen et al.
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
Zihan Zhang, Jiaqi Yang, Xiangyang Ji et al.
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
Michael Iuzzolino, Michael Mozer, Samy Bengio
Improving black-box optimization in VAE latent space using decoder uncertainty
Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal
Improving Calibration through the Relationship with Adversarial Robustness
Yao Qin, Xuezhi Wang, Alex Beutel et al.
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye, Michael Tessler, Josh Tenenbaum et al.
Improving Compositionality of Neural Networks by Decoding Representations to Inputs
Mike Wu, Noah Goodman, Stefano Ermon
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
Lili Chen, Kimin Lee, Aravind Srinivas et al.
Improving Conditional Coverage via Orthogonal Quantile Regression
Shai Feldman, Stephen Bates, Yaniv Romano
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
Ziyu Jiang, Tianlong Chen, Ting Chen et al.
Improving Deep Learning Interpretability by Saliency Guided Training
Aya Abdelsalam Ismail, Hector Corrada Bravo, Soheil Feizi
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
Suyoung Lee, Sae-Young Chung
Improving Robustness using Generated Data
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles et al.
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang, Jingyang Lin, Jingjing Zou et al.
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee, Kibok Lee, Kimin Lee et al.
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Yanhong Zeng, Huan Yang, Hongyang Chao et al.