{"total":185,"rows":[{"id":"2302.05442","title":"Scaling Vision Transformers to 22 Billion Parameters","created":"2023-02-10","cited_by_count":694,"area":null},{"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":"2204.02937","title":"Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations","created":"2022-04-06","cited_by_count":381,"area":null},{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2307.06304","title":"Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution","created":"2023-07-12","cited_by_count":229,"area":null},{"id":"2310.13018","title":"Getting aligned on representational alignment","created":"2023-10-18","cited_by_count":143,"area":null},{"id":"2206.13089","title":"Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift","created":"2022-06-27","cited_by_count":94,"area":null},{"id":"2206.04046","title":"Sparse Mixture-of-Experts are Domain Generalizable Learners","created":"2022-06-08","cited_by_count":85,"area":"moe"},{"id":"2210.09996","title":"Perceptual Grouping in Contrastive Vision-Language Models","created":"2022-10-18","cited_by_count":82,"area":"mllm"},{"id":"2307.03659","title":"Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation","created":"2023-07-07","cited_by_count":82,"area":"offlinerl"},{"id":"2109.05211","title":"RobustART: Benchmarking Robustness on Architecture Design and Training Techniques","created":"2021-09-11","cited_by_count":79,"area":null},{"id":"2211.01201","title":"Human alignment of neural network representations","created":"2022-11-02","cited_by_count":74,"area":null},{"id":"2407.05848","title":"Wavelet Convolutions for Large Receptive Fields","created":"2024-07-08","cited_by_count":74,"area":null},{"id":"2304.13023","title":"Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images","created":"2023-04-25","cited_by_count":66,"area":null},{"id":"2210.12843","title":"Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification","created":"2022-10-23","cited_by_count":65,"area":null},{"id":"2211.03295","title":"MogaNet: Multi-order Gated Aggregation Network","created":"2022-11-07","cited_by_count":59,"area":null},{"id":"2211.04533","title":"Harmonizing the object recognition strategies of deep neural networks with humans","created":"2022-11-08","cited_by_count":59,"area":null},{"id":"2404.07983","title":"Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models","created":"2024-04-11","cited_by_count":57,"area":"mllm"},{"id":"2309.16779","title":"Intriguing properties of generative classifiers","created":"2023-09-28","cited_by_count":52,"area":null},{"id":"2112.00639","title":"A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?","created":"2021-12-01","cited_by_count":48,"area":null},{"id":"2210.03895","title":"ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints","created":"2022-10-08","cited_by_count":48,"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":"2402.07410","title":"A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)","created":"2024-02-12","cited_by_count":44,"area":null},{"id":"2312.05355","title":"Neither hype nor gloom do DNNs justice","created":"2023-12-08","cited_by_count":40,"area":null},{"id":"2208.00780","title":"Visual correspondence-based explanations improve AI robustness and human-AI team accuracy","created":"2022-07-26","cited_by_count":39,"area":null},{"id":"2312.12444","title":"What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?","created":"2023-11-03","cited_by_count":39,"area":null},{"id":"2306.04507","title":"Improving neural network representations using human similarity judgments","created":"2023-06-07","cited_by_count":38,"area":null},{"id":"2311.16093","title":"Visual cognition in multimodal large language models","created":"2023-11-27","cited_by_count":38,"area":"mllm"},{"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":"2404.00029","title":"Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence","created":"2024-03-21","cited_by_count":35,"area":null},{"id":"2307.12730","title":"COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts","created":"2023-07-24","cited_by_count":34,"area":null},{"id":"2602.20159","title":"A Very Big Video Reasoning Suite","created":"2026-02-23","cited_by_count":34,"area":"lr"},{"id":"2303.09224","title":"Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction","created":"2023-03-16","cited_by_count":32,"area":null},{"id":"2303.02416","title":"PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling","created":"2023-03-04","cited_by_count":28,"area":null},{"id":"2309.13190","title":"Spatial-frequency channels, shape bias, and adversarial robustness","created":"2023-09-22","cited_by_count":28,"area":null},{"id":"2205.16004","title":"What Knowledge Gets Distilled in Knowledge Distillation?","created":"2022-05-31","cited_by_count":27,"area":"distill"},{"id":"2312.09231","title":"Reliability in Semantic Segmentation: Can We Use Synthetic Data?","created":"2023-12-14","cited_by_count":24,"area":null},{"id":"2403.09193","title":"Can We Talk Models Into Seeing the World Differently?","created":"2024-03-14","cited_by_count":23,"area":"mllm"},{"id":"2305.15372","title":"Learning high-level visual representations from a child's perspective without strong inductive biases","created":"2023-05-24","cited_by_count":22,"area":null},{"id":"2507.11245","title":"NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation","created":"2025-07-15","cited_by_count":22,"area":null},{"id":"2404.07794","title":"DGMamba: Domain Generalization via Generalized State Space Model","created":"2024-04-11","cited_by_count":21,"area":"ssm"},{"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":"2404.01509","title":"Can Biases in ImageNet Models Explain Generalization?","created":"2024-04-01","cited_by_count":20,"area":null},{"id":"2304.00553","title":"From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding","created":"2023-04-02","cited_by_count":19,"area":null},{"id":"2306.03779","title":"Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex","created":"2023-06-06","cited_by_count":18,"area":null},{"id":"2307.05471","title":"Scale Alone Does not Improve Mechanistic Interpretability in Vision Models","created":"2023-07-11","cited_by_count":18,"area":"mechinterp"},{"id":"2411.05561","title":"Objective drives the consistency of representational similarity across datasets","created":"2024-11-08","cited_by_count":18,"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":"2404.03924","title":"Learning Correlation Structures for Vision Transformers","created":"2024-04-05","cited_by_count":15,"area":null},{"id":"2309.12821","title":"A Spectral Theory of Neural Prediction and Alignment","created":"2023-09-22","cited_by_count":14,"area":null},{"id":"2207.08034","title":"Progress and limitations of deep networks to recognize objects in unusual poses","created":"2022-07-16","cited_by_count":13,"area":null},{"id":"2502.16238","title":"Brain-Model Evaluations Need the NeuroAI Turing Test","created":"2025-02-22","cited_by_count":13,"area":null},{"id":"2509.20234","title":"ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression","created":"2025-09-24","cited_by_count":13,"area":null},{"id":"2209.11737","title":"Visual representations in the human brain are aligned with large language models","created":"2022-09-23","cited_by_count":12,"area":null},{"id":"2502.20256","title":"Do computer vision foundation models learn the low-level characteristics of the human visual system?","created":"2025-02-27","cited_by_count":12,"area":null},{"id":"2202.00838","title":"Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks","created":"2022-02-02","cited_by_count":11,"area":null},{"id":"2310.18894","title":"Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity","created":"2023-10-29","cited_by_count":11,"area":null},{"id":"2311.17833","title":"DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations","created":"2023-11-29","cited_by_count":11,"area":null},{"id":"2202.08340","title":"A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines","created":"2022-02-16","cited_by_count":10,"area":null},{"id":"2209.00692","title":"Making Intelligence: Ethical Values in IQ and ML Benchmarks","created":"2022-09-01","cited_by_count":10,"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":"2401.09109","title":"Trapped in texture bias? A large scale comparison of deep instance segmentation","created":"2024-01-17","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":"2410.14574","title":"MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts","created":"2024-10-18","cited_by_count":9,"area":"moe"},{"id":"2502.09507","title":"When and How Does CLIP Enable Domain and Compositional Generalization?","created":"2025-02-13","cited_by_count":9,"area":"mllm"},{"id":"2404.00897","title":"Machine Learning Robustness: A Primer","created":"2024-04-01","cited_by_count":8,"area":null},{"id":"2404.05290","title":"MindSet: Vision. A toolbox for testing DNNs on key psychological experiments","created":"2024-04-08","cited_by_count":8,"area":null},{"id":"2203.06649","title":"Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4","created":"2022-03-08","cited_by_count":7,"area":null},{"id":"2210.10913","title":"Palm up: Playing in the Latent Manifold for Unsupervised Pretraining","created":"2022-10-19","cited_by_count":7,"area":null},{"id":"2306.03229","title":"Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception","created":"2023-06-05","cited_by_count":7,"area":null},{"id":"2312.02843","title":"Are Vision Transformers More Data Hungry Than Newborn Visual Systems?","created":"2023-12-05","cited_by_count":7,"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":"2407.10918","title":"PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition","created":"2024-07-15","cited_by_count":7,"area":null},{"id":"2209.15042","title":"Generalizability of Adversarial Robustness Under Distribution Shifts","created":"2022-09-29","cited_by_count":6,"area":null},{"id":"2306.11582","title":"Computing a human-like reaction time metric from stable recurrent vision models","created":"2023-06-20","cited_by_count":6,"area":null},{"id":"2402.00300","title":"Self-supervised learning of video representations from a child's perspective","created":"2024-02-01","cited_by_count":6,"area":null},{"id":"2406.09908","title":"What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?","created":"2024-06-14","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":"2502.18710","title":"Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts","created":"2025-02-26","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":"2403.08469","title":"An Analysis of Human Alignment of Latent Diffusion Models","created":"2024-03-13","cited_by_count":5,"area":"diffusion"},{"id":"2503.23125","title":"Evaluating Compositional Scene Understanding in Multimodal Generative Models","created":"2025-03-29","cited_by_count":5,"area":"mllm"},{"id":"2601.09871","title":"Epistemology gives a Future to Complementarity in Human-AI Interactions","created":"2026-01-14","cited_by_count":5,"area":null},{"id":"2109.11523","title":"How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?","created":"2021-09-23","cited_by_count":4,"area":null},{"id":"2308.03712","title":"Scaling may be all you need for achieving human-level object recognition capacity with human-like visual experience","created":"2023-08-07","cited_by_count":4,"area":null},{"id":"2401.17231","title":"Achieving More Human Brain-Like Vision via Human EEG Representational Alignment","created":"2024-01-30","cited_by_count":4,"area":null},{"id":"2506.01201","title":"Perceptual Inductive Bias Is What You Need Before Contrastive Learning","created":"2025-06-01","cited_by_count":4,"area":null},{"id":"2507.04494","title":"Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference","created":"2025-07-06","cited_by_count":4,"area":null},{"id":"2203.15100","title":"Understanding out-of-distribution accuracies through quantifying difficulty of test samples","created":"2022-03-28","cited_by_count":3,"area":null},{"id":"2302.00775","title":"Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index","created":"2023-02-01","cited_by_count":3,"area":null},{"id":"2310.07555","title":"Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration","created":"2023-10-11","cited_by_count":3,"area":null},{"id":"2403.09543","title":"Explorations in Texture Learning","created":"2024-03-14","cited_by_count":3,"area":null},{"id":"2403.15757","title":"User-Side Realization","created":"2024-03-23","cited_by_count":3,"area":null},{"id":"2404.19394","title":"CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation","created":"2024-04-30","cited_by_count":3,"area":"ssm"},{"id":"2406.02535","title":"Enhancing 2D Representation Learning with a 3D Prior","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2407.17974","title":"What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models","created":"2024-07-25","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":"2503.00086","title":"Generalization of CNNs on Relational Reasoning with Bar Charts","created":"2025-02-28","cited_by_count":3,"area":null}],"next_cursor":"100"}