All Papers

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu et al.

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

Yuanqi Yao, Gang Wu, Kui Jiang et al.

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan et al.

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis

Axel Laborieux, Friedemann Zenke

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Yuelin Zhang, Jiacheng Cen, Jiaqi Han et al.

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction

Kangkang Lu, Yanhua Yu, Hao Fei et al.

Improving Factual Error Correction by Learning to Inject Factual Errors

Xingwei He, Qianru Zhang, A-Long Jin et al.

Improving Factuality and Reasoning in Language Models through Multiagent Debate

Yilun Du, Shuang Li, Antonio Torralba et al.

Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context

Shashank Agnihotri, Julia Grabinski, Margret Keuper

Improving fine-grained understanding in image-text pre-training

Ioana Bica, Anastasija Ilic, Matthias Bauer et al.

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

Da Wang, Lin Li, Wei Wei et al.

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning

Rui Zheng, Wei Shen, Yuan Hua et al.

Improving Generalization via Meta-Learning on Hard Samples

Nishant Jain, Arun Suggala, Pradeep Shenoy

Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names

Yapeng Li, Yong Luo, Zengmao Wang et al.

Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance

Reyhane Askari Hemmat, Melissa Hall, Alicia Yi Sun et al.

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Yujie Fang, Xin Li, Qianyu Chen et al.

Improving Gradient-Guided Nested Sampling for Posterior Inference

Pablo Lemos, Nikolay Malkin, Will Handley et al.

Improving Graph Contrastive Learning via Adaptive Positive Sampling

Jiaming Zhuo, Feiyang Qin, Can Cui et al.

Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference

Yujin Han, Difan Zou

Improving Hyperbolic Representations via Gromov-Wasserstein Regularization

yifei Yang, Wonjun Lee, Dongmian Zou et al.

Improving Image Restoration through Removing Degradations in Textual Representations

Jingbo Lin, Zhilu Zhang, Yuxiang Wei et al.

Improving image synthesis with diffusion-negative sampling

Alakh Desai, Nuno Vasconcelos

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation

JoonHo Lee, Jae Oh Woo, Juree Seok et al.

Improving Interpretation Faithfulness for Vision Transformers

Lijie Hu, Yixin Liu, Ninghao Liu et al.

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models

Nishad Singhi, Jae Myung Kim, Karsten Roth et al.

Improving Intrinsic Exploration by Creating Stationary Objectives

Roger Creus Castanyer, Joshua Romoff, Glen Berseth

Improving Knowledge Distillation via Regularizing Feature Direction and Norm

Yuzhu Wang, Lechao Cheng, Manni Duan et al.

Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

James Kirk, Robert Wray, Peter Lindes et al.

Improving LoRA in Privacy-preserving Federated Learning

Youbang Sun, Zitao Li, Yaliang Li et al.

Improving Medical Multi-modal Contrastive Learning with Expert Annotations

Yogesh Kumar, Pekka Marttinen

Improving Neural Additive Models with Bayesian Principles

Kouroche Bouchiat, Alexander Immer, Hugo Yèche et al.

Improving Neural Logic Machines via Failure Reflection

Zhiming Li, Yushi Cao, Yan Zheng et al.

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting

Improving Neural Surface Reconstruction with Feature Priors from Multi-View Images

Xinlin Ren, Chenjie Cao, Yanwei Fu et al.

Improving Non-Transferable Representation Learning by Harnessing Content and Style

Ziming Hong, Zhenyi Wang, Li Shen et al.

Improving Offline RL by Blending Heuristics

Sinong Geng, Aldo Pacchiano, Andrey Kolobov et al.

Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge

Sixing Wu, Jiong Yu, Jiahao Chen et al.

Improving Open-Ended Text Generation via Adaptive Decoding

Wenhong Zhu, Hongkun Hao, Zhiwei He et al.

Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge

Seong-Tae Kim, Hyungil Kim, Y. Ro

Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments

Yinhua Piao, Sangseon Lee, Yijingxiu Lu et al.

Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation

Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization

Takuhiro Kaneko

Improving Plasticity in Online Continual Learning via Collaborative Learning

Maorong Wang, Nicolas Michel, Ling Xiao et al.

Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance

I-HSIANG CHEN, Wei-Ting Chen, Yu-Wei Liu et al.

Improving protein optimization with smoothed fitness landscapes

Andrew Kirjner, Jason Yim, Raman Samusevich et al.

Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining

Aaron Li, Robin Netzorg, Zhihan Cheng et al.

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation

Zhengyi Li, Menglu Li, Lida Zhu et al.

Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields

BOYU Chen, Wei-Chen Chiu, Yu-Lun Liu

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures

Sayanton Vhaduri Dibbo, Adam Breuer, Juston Moore et al.

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization

Nayeong Kim, Juwon Kang, Sungsoo Ahn et al.