{"total":73,"rows":[{"id":"2206.14486","title":"Beyond neural scaling laws: beating power law scaling via data pruning","created":"2022-06-29","cited_by_count":528,"area":null},{"id":"2106.07411","title":"Partial success in closing the gap between human and machine vision","created":"2021-06-14","cited_by_count":185,"area":null},{"id":"2310.13018","title":"Getting aligned on representational alignment","created":"2023-10-18","cited_by_count":143,"area":null},{"id":"2305.06329","title":"Similarity of Neural Network Models: A Survey of Functional and Representational Measures","created":"2023-05-10","cited_by_count":131,"area":null},{"id":"2105.07197","title":"Are Convolutional Neural Networks or Transformers more like human vision?","created":"2021-05-15","cited_by_count":109,"area":null},{"id":"2211.01201","title":"Human alignment of neural network representations","created":"2022-11-02","cited_by_count":74,"area":null},{"id":"2205.04596","title":"When does dough become a bagel? Analyzing the remaining mistakes on ImageNet","created":"2022-05-09","cited_by_count":61,"area":null},{"id":"2110.12899","title":"No One Representation to Rule Them All: Overlapping Features of Training Methods","created":"2021-10-20","cited_by_count":58,"area":null},{"id":"2309.16779","title":"Intriguing properties of generative classifiers","created":"2023-09-28","cited_by_count":52,"area":null},{"id":"2202.08821","title":"Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness","created":"2022-02-17","cited_by_count":45,"area":null},{"id":"2208.08831","title":"Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning","created":"2022-08-18","cited_by_count":45,"area":null},{"id":"2506.07962","title":"Correlated Errors in Large Language Models","created":"2025-06-09","cited_by_count":45,"area":null},{"id":"2404.16820","title":"Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings","created":"2024-04-25","cited_by_count":44,"area":null},{"id":"2109.14591","title":"Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration","created":"2021-09-29","cited_by_count":40,"area":null},{"id":"2110.05922","title":"Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond)","created":"2021-10-12","cited_by_count":35,"area":null},{"id":"2105.14173","title":"FoveaTer: Foveated Transformer for Image Classification","created":"2021-05-29","cited_by_count":28,"area":null},{"id":"2106.12447","title":"How Well do Feature Visualizations Support Causal Understanding of CNN Activations?","created":"2021-06-23","cited_by_count":28,"area":null},{"id":"2107.14344","title":"Towards robust vision by multi-task learning on monkey visual cortex","created":"2021-07-29","cited_by_count":28,"area":null},{"id":"2209.14389","title":"Downstream Datasets Make Surprisingly Good Pretraining Corpora","created":"2022-09-28","cited_by_count":20,"area":null},{"id":"2210.06433","title":"Self-supervised video pretraining yields robust and more human-aligned visual representations","created":"2022-10-12","cited_by_count":20,"area":null},{"id":"2411.05561","title":"Objective drives the consistency of representational similarity across datasets","created":"2024-11-08","cited_by_count":18,"area":null},{"id":"2302.00704","title":"Pathologies of Predictive Diversity in Deep Ensembles","created":"2023-02-01","cited_by_count":16,"area":null},{"id":"2406.04138","title":"The 3D-PC: a benchmark for visual perspective taking in humans and machines","created":"2024-06-06","cited_by_count":16,"area":null},{"id":"2410.10799","title":"Towards Foundation Models for 3D Vision: How Close Are We?","created":"2024-10-14","cited_by_count":13,"area":null},{"id":"2105.13351","title":"Tracking Without Re-recognition in Humans and Machines","created":"2021-05-27","cited_by_count":12,"area":null},{"id":"2305.17023","title":"Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?","created":"2023-05-26","cited_by_count":10,"area":null},{"id":"2307.04231","title":"Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation","created":"2023-07-09","cited_by_count":10,"area":null},{"id":"2402.19472","title":"Efficient Lifelong Model Evaluation in an Era of Rapid Progress","created":"2024-02-29","cited_by_count":10,"area":null},{"id":"2504.16940","title":"Better artificial intelligence does not mean better models of biology","created":"2025-04-08","cited_by_count":10,"area":null},{"id":"2205.10144","title":"The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks","created":"2022-05-20","cited_by_count":9,"area":null},{"id":"2303.12669","title":"An Extended Study of Human-like Behavior under Adversarial Training","created":"2023-03-22","cited_by_count":9,"area":null},{"id":"2402.03973","title":"A comparison between humans and AI at recognizing objects in unusual poses","created":"2024-02-06","cited_by_count":7,"area":null},{"id":"2407.12543","title":"Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships","created":"2024-07-17","cited_by_count":7,"area":null},{"id":"2104.05467","title":"Understanding Prediction Discrepancies in Machine Learning Classifiers","created":"2021-04-12","cited_by_count":6,"area":null},{"id":"2401.02430","title":"Automated Classification of Model Errors on ImageNet","created":"2023-11-13","cited_by_count":6,"area":null},{"id":"2407.07530","title":"How Aligned are Different Alignment Metrics?","created":"2024-07-10","cited_by_count":6,"area":null},{"id":"2504.05253","title":"Contour Integration Underlies Human-Like Vision","created":"2025-04-07","cited_by_count":6,"area":null},{"id":"2212.08650","title":"ColorSense: A Study on Color Vision in Machine Visual Recognition","created":"2022-12-16","cited_by_count":5,"area":null},{"id":"2405.16493","title":"Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception","created":"2024-05-26","cited_by_count":5,"area":null},{"id":"2210.11407","title":"Similarity of Neural Architectures using Adversarial Attack Transferability","created":"2022-10-20","cited_by_count":4,"area":null},{"id":"2403.13368","title":"Computational Models to Study Language Processing in the Human Brain: A Survey","created":"2024-03-20","cited_by_count":4,"area":null},{"id":"2410.20035","title":"Training the Untrainable: Introducing Inductive Bias via Representational Alignment","created":"2024-10-26","cited_by_count":4,"area":null},{"id":"2501.05714","title":"How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond","created":"2025-01-10","cited_by_count":4,"area":null},{"id":"2410.02094","title":"Tracking objects that change in appearance with phase synchrony","created":"2024-10-02","cited_by_count":3,"area":null},{"id":"2410.14470","title":"How Do Training Methods Influence the Utilization of Vision Models?","created":"2024-10-18","cited_by_count":3,"area":null},{"id":"2505.13899","title":"Causes and Consequences of Representational Similarity in Machine Learning Models","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2506.16950","title":"LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models","created":"2025-06-20","cited_by_count":3,"area":null},{"id":"2606.07435","title":"The Lipreading Gap: Do VSR Models Perceive Visual Speech Like Human Lipreaders?","created":"2026-06-05","cited_by_count":3,"area":null},{"id":"2307.05476","title":"Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation","created":"2023-07-05","cited_by_count":2,"area":null},{"id":"2401.11835","title":"Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI","created":"2024-01-22","cited_by_count":2,"area":null},{"id":"2402.05571","title":"Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study","created":"2024-02-08","cited_by_count":2,"area":null},{"id":"2601.21568","title":"Bridging Functional and Representational Similarity via Usable Information","created":"2026-01-29","cited_by_count":2,"area":null},{"id":"2103.09265","title":"Bio-inspired Robustness: A Review","created":"2021-03-16","cited_by_count":1,"area":null},{"id":"2308.01525","title":"VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception","created":"2023-08-03","cited_by_count":1,"area":null},{"id":"2312.11436","title":"Layerwise complexity-matched learning yields an improved model of cortical area V2","created":"2023-12-18","cited_by_count":1,"area":null},{"id":"2409.16838","title":"Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness","created":"2024-09-25","cited_by_count":1,"area":null},{"id":"2503.00228","title":"Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2602.13859","title":"Low-Pass Filtering Improves Behavioral Alignment of Vision Models","created":"2026-02-14","cited_by_count":1,"area":null},{"id":"2605.25174","title":"Growing a Neural Network in Breadth, Depth, and Time","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2205.07862","title":"A Safety Assurable Human-Inspired Perception Architecture","created":"2022-05-10","cited_by_count":0,"area":null},{"id":"2302.12505","title":"Spatial Bias for Attention-free Non-local Neural Networks","created":"2023-02-24","cited_by_count":0,"area":null},{"id":"2311.06276","title":"Enhancing the machine vision performance with multi-spectral light sources","created":"2023-10-20","cited_by_count":0,"area":null},{"id":"2412.03210","title":"Parametric PerceptNet: A bio-inspired deep-net trained for Image Quality Assessment","created":"2024-12-04","cited_by_count":0,"area":null},{"id":"2506.02164","title":"Quantifying task-relevant representational similarity using decision variable correlation","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2603.07462","title":"Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2603.08317","title":"Human-AI Divergence in Ego-centric Action Recognition under Spatial and Spatiotemporal Manipulations","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2605.04231","title":"Anatomy of a failure: When, how, and why deep vision fails in scientific domains","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.23819","title":"Not Too Generative, Not Too Discriminative: The Human Alignment Sweet Spot","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2607.08932","title":"Vision Transformers Learn Gestalt-Like Figure-Ground Cues from Natural Images","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2608.10195","title":"More Accurate, Less Human: Gestalt Grouping in Vision Models","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.18083","title":"Entity tracking emerges in sub-billion parameter language models and exceeds human performance in naturalistic narratives","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2609.22788","title":"Human-Level Accuracy, Non-Human Strategies: Revealing Model-Human Divergence in Video Physical Reasoning","created":"2026-09-19","cited_by_count":0,"area":null},{"id":"2610.13476","title":"A Better Metric Will Not Save You: What You Compare Beats How You Compare It","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}