{"total":39,"rows":[{"id":"2211.03295","title":"MogaNet: Multi-order Gated Aggregation Network","created":"2022-11-07","cited_by_count":59,"area":null},{"id":"2410.01649","title":"shapiq: Shapley Interactions for Machine Learning","created":"2024-10-02","cited_by_count":43,"area":null},{"id":"2205.13943","title":"Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN","created":"2022-05-27","cited_by_count":31,"area":null},{"id":"2302.13080","title":"Does a Neural Network Really Encode Symbolic Concepts?","created":"2023-02-25","cited_by_count":27,"area":null},{"id":"2303.01052","title":"Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression","created":"2023-03-02","cited_by_count":18,"area":null},{"id":"2304.01811","title":"HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation","created":"2023-04-04","cited_by_count":17,"area":null},{"id":"2401.16318","title":"Defining and Extracting generalizable interaction primitives from DNNs","created":"2024-01-29","cited_by_count":14,"area":null},{"id":"2407.19198","title":"Towards the Dynamics of a DNN Learning Symbolic Interactions","created":"2024-07-27","cited_by_count":13,"area":null},{"id":"2304.13312","title":"Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs","created":"2023-04-26","cited_by_count":12,"area":null},{"id":"2304.01083","title":"Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?","created":"2023-04-03","cited_by_count":11,"area":null},{"id":"2210.09020","title":"Defects of Convolutional Decoder Networks in Frequency Representation","created":"2022-10-17","cited_by_count":10,"area":null},{"id":"2302.13095","title":"Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts","created":"2023-02-25","cited_by_count":9,"area":null},{"id":"2305.01939","title":"Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models","created":"2023-05-03","cited_by_count":8,"area":null},{"id":"2401.03785","title":"Identifying Important Group of Pixels using Interactions","created":"2024-01-08","cited_by_count":6,"area":null},{"id":"2402.00723","title":"Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders","created":"2024-02-01","cited_by_count":6,"area":null},{"id":"2205.07266","title":"Discovering the Representation Bottleneck of Graph Neural Networks","created":"2022-05-15","cited_by_count":4,"area":null},{"id":"2404.07066","title":"Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?","created":"2024-04-10","cited_by_count":4,"area":null},{"id":"2409.08712","title":"Layerwise Change of Knowledge in Neural Networks","created":"2024-09-13","cited_by_count":4,"area":null},{"id":"2205.15146","title":"Batch Normalization Is Blind to the First and Second Derivatives of the Loss","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2311.12800","title":"Understanding Data Augmentation from a Robustness Perspective","created":"2023-09-07","cited_by_count":3,"area":null},{"id":"2210.03349","title":"Game-Theoretic Understanding of Misclassification","created":"2022-10-07","cited_by_count":2,"area":null},{"id":"2502.10162","title":"Revisiting Generalization Power of a DNN in Terms of Symbolic Interactions","created":"2025-02-14","cited_by_count":2,"area":null},{"id":"2505.06993","title":"Technical Report: Quantifying and Analyzing the Generalization Power of a DNN","created":"2025-05-11","cited_by_count":2,"area":null},{"id":"2303.06635","title":"Schema Inference for Interpretable Image Classification","created":"2023-03-12","cited_by_count":1,"area":null},{"id":"2309.13411","title":"Towards Attributions of Input Variables in a Coalition","created":"2023-09-23","cited_by_count":1,"area":null},{"id":"2410.08455","title":"Why pre-training is beneficial for downstream classification tasks?","created":"2024-10-11","cited_by_count":1,"area":null},{"id":"2410.09083","title":"Evaluating the Correctness of Inference Patterns Used by LLMs for Judgment","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2411.08164","title":"EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns","created":"2024-11-12","cited_by_count":1,"area":null},{"id":"2512.18607","title":"The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation","created":"2025-12-21","cited_by_count":1,"area":null},{"id":"2606.08129","title":"Cross-LLM Consistency in Inference: Evidence from Shared Interactions","created":"2026-06-06","cited_by_count":1,"area":null},{"id":"2206.11126","title":"Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models","created":"2022-06-22","cited_by_count":0,"area":null},{"id":"2212.04059","title":"MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation","created":"2022-12-08","cited_by_count":0,"area":null},{"id":"2307.00758","title":"Structured Network Pruning by Measuring Filter-wise Interactions","created":"2023-07-03","cited_by_count":0,"area":null},{"id":"2410.04421","title":"Disentangling Regional Primitives for Image Generation","created":"2024-10-06","cited_by_count":0,"area":null},{"id":"2507.10977","title":"Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2507.10999","title":"SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2605.13148","title":"Understanding Generalization through Decision Pattern Shift","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.17967","title":"Reconciling Contradictory Views on the Effectiveness of SFT in LLMs: An Interaction Perspective","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2609.24942","title":"Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}