{"list":"other","total":62,"rows":[{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1603.02754","title":"XGBoost: A Scalable Tree Boosting System","created":"2016-03-09","cited_by_count":5166},{"id":"1703.03400","title":"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks","created":"2017-03-09","cited_by_count":4897},{"id":"2108.07258","title":"On the Opportunities and Risks of Foundation Models","created":"2021-08-16","cited_by_count":4033},{"id":"1612.01474","title":"Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles","created":"2016-12-05","cited_by_count":3926},{"id":"1806.07572","title":"Neural Tangent Kernel: Convergence and Generalization in Neural Networks","created":"2018-06-20","cited_by_count":2621},{"id":"1703.04977","title":"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?","created":"2017-03-15","cited_by_count":2352},{"id":"1906.02530","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","created":"2019-06-06","cited_by_count":1287},{"id":"2106.11959","title":"Revisiting Deep Learning Models for Tabular Data","created":"2021-06-22","cited_by_count":740},{"id":"1902.06720","title":"Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent","created":"2019-02-18","cited_by_count":738},{"id":"1812.07956","title":"On Lazy Training in Differentiable Programming","created":"2018-12-19","cited_by_count":675},{"id":"2207.01848","title":"TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second","created":"2022-07-05","cited_by_count":674},{"id":"2106.03253","title":"Tabular Data: Deep Learning is Not All You Need","created":"2021-06-06","cited_by_count":535},{"id":"1608.04471","title":"Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm","created":"2016-08-16","cited_by_count":507},{"id":"1912.02757","title":"Deep Ensembles: A Loss Landscape Perspective","created":"2019-12-05","cited_by_count":443},{"id":"2003.06505","title":"AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data","created":"2020-03-13","cited_by_count":383},{"id":"2002.06715","title":"BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning","created":"2020-02-17","cited_by_count":371},{"id":"2112.10510","title":"Transformers Can Do Bayesian Inference","created":"2021-12-20","cited_by_count":360},{"id":"2104.14421","title":"What Are Bayesian Neural Network Posteriors Really Like?","created":"2021-04-29","cited_by_count":308},{"id":"1806.03335","title":"Randomized Prior Functions for Deep Reinforcement Learning","created":"2018-06-08","cited_by_count":219},{"id":"2002.09434","title":"Few-Shot Learning via Learning the Representation, Provably","created":"2020-02-21","cited_by_count":214},{"id":"2006.11650","title":"On the Theory of Transfer Learning: The Importance of Task Diversity","created":"2020-06-20","cited_by_count":186},{"id":"1906.01620","title":"Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision","created":"2019-06-04","cited_by_count":182},{"id":"1911.02855","title":"Dice Loss for Data-imbalanced NLP Tasks","created":"2019-11-07","cited_by_count":182},{"id":"1708.03731","title":"OpenML Benchmarking Suites","created":"2017-08-11","cited_by_count":178},{"id":"2006.06914","title":"Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses","created":"2020-06-12","cited_by_count":173},{"id":"2005.07186","title":"Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors","created":"2020-05-14","cited_by_count":171},{"id":"2002.11684","title":"Provable Meta-Learning of Linear Representations","created":"2020-02-26","cited_by_count":161},{"id":"2209.05364","title":"If Influence Functions are the Answer, Then What is the Question?","created":"2022-09-12","cited_by_count":144},{"id":"1705.08933","title":"Doubly Stochastic Variational Inference for Deep Gaussian Processes","created":"2017-05-24","cited_by_count":143},{"id":"1903.05779","title":"Functional Variational Bayesian Neural Networks","created":"2019-03-14","cited_by_count":127},{"id":"2102.06571","title":"Bayesian Neural Network Priors Revisited","created":"2021-02-12","cited_by_count":121},{"id":"2005.06398","title":"Implicit Regularization in Deep Learning May Not Be Explainable by Norms","created":"2020-05-13","cited_by_count":119},{"id":"2308.13111","title":"Bayesian Low-rank Adaptation for Large Language Models","created":"2023-08-24","cited_by_count":115},{"id":"2106.11642","title":"Repulsive Deep Ensembles are Bayesian","created":"2021-06-22","cited_by_count":104},{"id":"2011.02268","title":"Causal Autoregressive Flows","created":"2020-11-04","cited_by_count":99},{"id":"1810.05546","title":"Uncertainty in Neural Networks: Approximately Bayesian Ensembling","created":"2018-10-12","cited_by_count":94},{"id":"2007.05864","title":"Bayesian Deep Ensembles via the Neural Tangent Kernel","created":"2020-07-11","cited_by_count":90},{"id":"2002.05551","title":"PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees","created":"2020-02-13","cited_by_count":85},{"id":"1311.2838","title":"A PAC-Bayesian bound for Lifelong Learning","created":"2013-11-12","cited_by_count":69},{"id":"1903.03571","title":"Rates of Convergence for Sparse Variational Gaussian Process Regression","created":"2019-03-08","cited_by_count":63},{"id":"2010.10777","title":"AutoML to Date and Beyond: Challenges and Opportunities","created":"2020-10-21","cited_by_count":63},{"id":"2011.12829","title":"All You Need is a Good Functional Prior for Bayesian Deep Learning","created":"2020-11-25","cited_by_count":61},{"id":"2008.05912","title":"A statistical theory of cold posteriors in deep neural networks","created":"2020-08-13","cited_by_count":54},{"id":"2011.01808","title":"Bayesian Workflow","created":"2020-11-03","cited_by_count":49},{"id":"2203.16481","title":"On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification","created":"2022-03-30","cited_by_count":46},{"id":"2103.15671","title":"Martingale posterior distributions","created":"2021-03-29","cited_by_count":45},{"id":"2006.16649","title":"Sparse Gaussian Processes with Spherical Harmonic Features","created":"2020-06-30","cited_by_count":43},{"id":"1806.02390","title":"Variational Implicit Processes","created":"2018-06-06","cited_by_count":41},{"id":"1902.09754","title":"Function Space Particle Optimization for Bayesian Neural Networks","created":"2019-02-26","cited_by_count":41},{"id":"1910.08013","title":"Why bigger is not always better: on finite and infinite neural networks","created":"2019-10-17","cited_by_count":41},{"id":"2011.09421","title":"Understanding Variational Inference in Function-Space","created":"2020-11-18","cited_by_count":40},{"id":"1702.08712","title":"Algorithmic stability and hypothesis complexity","created":"2017-02-28","cited_by_count":39},{"id":"2010.11223","title":"Meta-trained agents implement Bayes-optimal agents","created":"2020-10-21","cited_by_count":38},{"id":"2106.05586","title":"Data augmentation in Bayesian neural networks and the cold posterior effect","created":"2021-06-10","cited_by_count":36},{"id":"2012.14868","title":"Minimum Excess Risk in Bayesian Learning","created":"2020-12-29","cited_by_count":35},{"id":"2006.12335","title":"Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors","created":"2020-06-22","cited_by_count":29},{"id":"2402.08733","title":"Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs","created":"2024-02-13","cited_by_count":19},{"id":"2304.09431","title":"Martingale Posterior Neural Processes","created":"2023-04-19","cited_by_count":16},{"id":"2302.11709","title":"Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes","created":"2023-02-23","cited_by_count":8},{"id":"2205.10772","title":"Fast Instrument Learning with Faster Rates","created":"2022-05-22","cited_by_count":6},{"id":"2206.06462","title":"Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates","created":"2022-06-13","cited_by_count":3}],"next_cursor":null}