{"total":44,"rows":[{"id":"2108.13264","title":"Deep Reinforcement Learning at the Edge of the Statistical Precipice","created":"2021-08-30","cited_by_count":807,"area":null},{"id":"2206.14576","title":"Using cognitive psychology to understand GPT-3","created":"2022-06-21","cited_by_count":398,"area":null},{"id":"2106.02890","title":"Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?","created":"2021-06-05","cited_by_count":75,"area":null},{"id":"2311.17055","title":"No Representation Rules Them All in Category Discovery","created":"2023-11-28","cited_by_count":61,"area":null},{"id":"2211.08422","title":"Mechanistic Mode Connectivity","created":"2022-11-15","cited_by_count":50,"area":null},{"id":"2206.04679","title":"POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples","created":"2022-06-08","cited_by_count":15,"area":null},{"id":"2106.13122","title":"Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers","created":"2021-06-24","cited_by_count":13,"area":null},{"id":"2109.06232","title":"The Emergence of the Shape Bias Results from Communicative Efficiency","created":"2021-09-13","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":"2106.02953","title":"Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases","created":"2021-06-05","cited_by_count":12,"area":null},{"id":"2110.04328","title":"Distinguishing rule- and exemplar-based generalization in learning systems","created":"2021-10-08","cited_by_count":12,"area":null},{"id":"2305.06568","title":"Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation","created":"2023-05-11","cited_by_count":12,"area":null},{"id":"2109.04374","title":"IFBiD: Inference-Free Bias Detection","created":"2021-09-09","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":"2311.11465","title":"Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape","created":"2023-06-03","cited_by_count":10,"area":null},{"id":"2508.00548","title":"Video Color Grading via Look-Up Table Generation","created":"2025-08-01","cited_by_count":9,"area":null},{"id":"2210.13569","title":"Characterizing Verbatim Short-Term Memory in Neural Language Models","created":"2022-10-24","cited_by_count":8,"area":null},{"id":"2109.05671","title":"Shape-Biased Domain Generalization via Shock Graph Embeddings","created":"2021-09-13","cited_by_count":6,"area":null},{"id":"2204.01437","title":"Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning","created":"2022-04-04","cited_by_count":6,"area":null},{"id":"2110.10366","title":"Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples","created":"2021-10-20","cited_by_count":5,"area":null},{"id":"2206.05846","title":"InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness","created":"2022-06-12","cited_by_count":5,"area":null},{"id":"2208.06028","title":"Gaussian Process Surrogate Models for Neural Networks","created":"2022-08-11","cited_by_count":5,"area":null},{"id":"2210.11717","title":"A Survey of Dataset Refinement for Problems in Computer Vision Datasets","created":"2022-10-21","cited_by_count":5,"area":null},{"id":"2106.02585","title":"A Procedural World Generation Framework for Systematic Evaluation of Continual Learning","created":"2021-06-04","cited_by_count":4,"area":null},{"id":"2403.05152","title":"Towards a Psychology of Machines: Large Language Models Predict Human Memory","created":"2024-03-08","cited_by_count":4,"area":null},{"id":"2408.09150","title":"CogLM: Tracking Cognitive Development of Large Language Models","created":"2024-08-17","cited_by_count":4,"area":null},{"id":"2310.19943","title":"The Acquisition of Physical Knowledge in Generative Neural Networks","created":"2023-10-30","cited_by_count":3,"area":null},{"id":"2202.00391","title":"Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement","created":"2022-02-01","cited_by_count":2,"area":null},{"id":"2312.01315","title":"Few-shot Shape Recognition by Learning Deep Shape-aware Features","created":"2023-12-03","cited_by_count":2,"area":null},{"id":"2512.04963","title":"GeoPE:A Unified Geometric Positional Embedding for Structured Tensors","created":"2025-12-04","cited_by_count":2,"area":null},{"id":"2208.03958","title":"Abutting Grating Illusion: Cognitive Challenge to Neural Network Models","created":"2022-08-08","cited_by_count":1,"area":null},{"id":"2212.06021","title":"A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations","created":"2022-12-12","cited_by_count":1,"area":null},{"id":"2607.26173","title":"Shared SFT Lessons Across Alignment, Model Organisms, and Toy Models","created":"2026-07-28","cited_by_count":1,"area":null},{"id":"2110.04465","title":"Predicting decision-making in the future: Human versus Machine","created":"2021-10-09","cited_by_count":0,"area":null},{"id":"2111.02058","title":"Rethinking the Image Feature Biases Exhibited by Deep CNN Models","created":"2021-11-03","cited_by_count":0,"area":null},{"id":"2204.13153","title":"SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks","created":"2022-04-27","cited_by_count":0,"area":null},{"id":"2209.06169","title":"The Role of Explanatory Value in Natural Language Processing","created":"2022-09-13","cited_by_count":0,"area":null},{"id":"2301.06216","title":"CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention","created":"2023-01-15","cited_by_count":0,"area":null},{"id":"2303.15792","title":"SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing","created":"2023-03-28","cited_by_count":0,"area":null},{"id":"2304.08499","title":"The XAISuite framework and the implications of explanatory system dissonance","created":"2023-04-15","cited_by_count":0,"area":null},{"id":"2307.06500","title":"On the ability of CNNs to extract color invariant intensity based features for image classification","created":"2023-07-13","cited_by_count":0,"area":null},{"id":"2311.10811","title":"A novel post-hoc explanation comparison metric and applications","created":"2023-11-17","cited_by_count":0,"area":null},{"id":"2508.00197","title":"Graph Lineages and Skeletal Graph Products","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2509.14420","title":"Class-Invariant Test-Time Augmentation for Domain Generalization","created":"2025-09-17","cited_by_count":0,"area":null}],"next_cursor":null}