All Papers

34,598 papers found • Page 71 of 692

CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts

Jihye Choi, Jayaram Raghuram, Yixuan Li et al.

ICLR 2025

Condensing Action Segmentation Datasets via Generative Network Inversion

Guodong Ding, Rongyu Chen, Angela Yao

CVPR 2025arXiv:2503.14112
2
citations

Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation

Nadav Z. Cohen, Oron Nir, Ariel Shamir

CVPR 2025arXiv:2412.19853
3
citations

Conditional Diffusion Anomaly Modeling on Graphs

Chunyu Wei, Haozhe Lin, Yueguo Chen et al.

NEURIPS 2025

Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation

Rong Tang, Lizhen Lin, Yun Yang

ICLR 2025arXiv:2409.20124
5
citations

Conditional Diffusion Models Based Conditional Independence Testing

Yanfeng Yang, Shuai Li, Yingjie Zhang et al.

AAAI 2025paperarXiv:2412.11744
5
citations

Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting

RISHI JINKA, Venkata Sai Mothish Gonugunta, Deepak N. Subramani

ICML 2025

Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies

Hyuna Cho, Ziquan Wei, Seungjoo Lee et al.

ICLR 2025

Conditional Distribution Compression via the Kernel Conditional Mean Embedding

Dominic Broadbent, Nick Whiteley, Robert Allison et al.

NEURIPS 2025arXiv:2504.10139
1
citations

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests

Kristin Blesch, Niklas Koenen, Jan Kapar et al.

AAAI 2025paperarXiv:2501.11178
4
citations

Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions

Philip Boeken, Onno Zoeter, Joris Mooij

NEURIPS 2025arXiv:2510.21335

Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization

Khanh-Hung (Bruce) Giang-Tran, Soroosh Shafiee, Nam Ho-Nguyen

NEURIPS 2025arXiv:2505.18037

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression

Siqi Wu, Yinda Chen, Dong Liu et al.

AAAI 2025paperarXiv:2502.09971
6
citations

Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation

Maximilian Ulmer, Wout Boerdijk, Rudolph Triebel et al.

ICCV 2025arXiv:2508.04122
1
citations

Conditional Panoramic Image Generation via Masked Autoregressive Modeling

Chaoyang Wang, Xiangtai Li, Lu Qi et al.

NEURIPS 2025arXiv:2505.16862
4
citations

Conditional Representation Learning for Customized Tasks

Honglin Liu, Chao Sun, Peng Hu et al.

NEURIPS 2025spotlightarXiv:2510.04564
1
citations

Conditional Testing based on Localized Conformal $p$-values

Xiaoyang Wu, Lin Lu, Zhaojun Wang et al.

ICLR 2025arXiv:2409.16829
3
citations

Conditional Visual Autoregressive Modeling for Pathological Image Restoration

Ziyi Liu, Zhe Xu, Jiabo MA et al.

ICCV 2025

Conditioning Diffusions Using Malliavin Calculus

Jakiw Pidstrigach, Elizabeth Baker, Carles Domingo i Enrich et al.

ICML 2025arXiv:2504.03461
12
citations

Conditioning Matters: Training Diffusion Policies is Faster Than You Think

Zibin Dong, Yicheng Liu, Yinchuan Li et al.

NEURIPS 2025arXiv:2505.11123
1
citations

ConDo: Continual Domain Expansion for Absolute Pose Regression

Zijun Li, Zhipeng Cai, Bochun Yang et al.

AAAI 2025paperarXiv:2412.13452
1
citations

ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement

Mengqi Lei, Haochen Wu, Xinhua Lv et al.

AAAI 2025paperarXiv:2412.08345
31
citations

Confidence-Aware With Prototype Alignment for Partial Multi-label Learning

Weijun Lv, Yu Chen, Xiaozhao Fang et al.

NEURIPS 2025

Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification

Yuanchao Dai, Ximing Li, Changchun Li

ICML 2025

Confidence Elicitation: A New Attack Vector for Large Language Models

Brian Formento, Chuan Sheng Foo, See-Kiong Ng

ICLR 2025arXiv:2502.04643
2
citations

Confidence Estimation for Error Detection in Text-to-SQL Systems

Oleg Somov, Elena Tutubalina

AAAI 2025paperarXiv:2501.09527
10
citations

Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention

Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese et al.

ICML 2025arXiv:2505.23968
2
citations

ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks

Qiang Liu, Mengyu Chu, Nils Thuerey

ICLR 2025arXiv:2408.11104
23
citations

Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers

Bum Jun Kim, Sang Woo Kim

AAAI 2025paperarXiv:2405.14115
2
citations

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning

Hongshu Guo, Zeyuan Ma, Jiacheng Chen et al.

AAAI 2025paperarXiv:2412.07507
12
citations

Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning

Dohyeong Kim, Mineui Hong, Jeongho Park et al.

ICLR 2025arXiv:2403.00282
3
citations

Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text

Zhange Zhang, Zhicheng Geng, Yuqing Ma et al.

NEURIPS 2025spotlight

Conformal Anomaly Detection in Event Sequences

Shuai Zhang, Chuan Zhou, Yang Liu et al.

ICML 2025

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models

William Overman, Mohsen Bayati

NEURIPS 2025arXiv:2506.00911
2
citations

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering

Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

ICLR 2025arXiv:2410.01660
5
citations

Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates

Baozhen Wang, Xingye Qiao

AAAI 2025paperarXiv:2501.14933
4
citations

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization

Sunay Joshi, Shayan Kiyani, George J. Pappas et al.

NEURIPS 2025arXiv:2502.13030
3
citations

Conformal Information Pursuit for Interactively Guiding Large Language Models

Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban et al.

NEURIPS 2025arXiv:2507.03279
3
citations

Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback

Michelle Zhao, Henny Admoni, Reid Simmons et al.

ICLR 2025arXiv:2410.08852
7
citations

Conformalized Interval Arithmetic with Symmetric Calibration

Rui Luo, Zhixin Zhou

AAAI 2025paperarXiv:2408.10939
11
citations

Conformalized Survival Analysis for General Right-Censored Data

Hen Davidov, Shai Feldman, Gil Shamai et al.

ICLR 2025

Conformal Language Model Reasoning with Coherent Factuality

Maxon Rubin-Toles, Maya Gambhir, Keshav Ramji et al.

ICLR 2025arXiv:2505.17126
6
citations

Conformal Linguistic Calibration: Trading-off between Factuality and Specificity

Zhengping Jiang, Anqi Liu, Ben Van Durme

NEURIPS 2025arXiv:2502.19110
7
citations

Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees

Daniel Ovalle, Lorenz Biegler, Ignacio Grossmann et al.

NEURIPS 2025spotlightarXiv:2506.03531

Conformal Online Learning of Deep Koopman Linear Embeddings

Ben Gao, Jordan Patracone, Stephane Chretien et al.

NEURIPS 2025arXiv:2511.12760
1
citations

Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation

Sayak Nag, Udita Ghosh, Calvin-Khang Ta et al.

CVPR 2025arXiv:2503.13947
1
citations

Conformal Prediction as Bayesian Quadrature

Jake Snell, Thomas Griffiths

ICML 2025oralarXiv:2502.13228
4
citations

Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation

Feichen Gan, Lu Youcun, Yingying Zhang et al.

NEURIPS 2025oralarXiv:2510.26026

Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models

Sima Noorani, Shayan Kiyani, George J. Pappas et al.

NEURIPS 2025arXiv:2506.05497
3
citations

Conformal Prediction for Causal Effects of Continuous Treatments

Maresa Schröder, Dennis Frauen, Jonas Schweisthal et al.

NEURIPS 2025arXiv:2407.03094
14
citations