{"total":599,"rows":[{"id":"2212.07677","title":"Transformers learn in-context by gradient descent","created":"2022-12-15","cited_by_count":732,"area":null},{"id":"2109.00137","title":"Implicit Behavioral Cloning","created":"2021-09-01","cited_by_count":452,"area":"offlinerl"},{"id":"2105.15183","title":"Efficient and Modular Implicit Differentiation","created":"2021-05-31","cited_by_count":203,"area":null},{"id":"2104.12225","title":"DC3: A learning method for optimization with hard constraints","created":"2021-04-25","cited_by_count":184,"area":null},{"id":"2103.16378","title":"End-to-End Constrained Optimization Learning: A Survey","created":"2021-03-30","cited_by_count":157,"area":null},{"id":"2101.11517","title":"Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond","created":"2021-01-27","cited_by_count":153,"area":null},{"id":"2307.13565","title":"Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities","created":"2023-07-25","cited_by_count":130,"area":null},{"id":"2102.11436","title":"Model-Based Domain Generalization","created":"2021-02-23","cited_by_count":104,"area":null},{"id":"2309.05858","title":"Uncovering mesa-optimization algorithms in Transformers","created":"2023-09-11","cited_by_count":100,"area":null},{"id":"2106.01798","title":"Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions","created":"2021-06-03","cited_by_count":98,"area":null},{"id":"2202.00665","title":"Tutorial on amortized optimization","created":"2022-02-01","cited_by_count":83,"area":null},{"id":"2110.01515","title":"A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning","created":"2021-10-04","cited_by_count":82,"area":null},{"id":"2306.10374","title":"A Survey of Contextual Optimization Methods for Decision Making under Uncertainty","created":"2023-06-17","cited_by_count":82,"area":null},{"id":"2103.15341","title":"Stiff Neural Ordinary Differential Equations","created":"2021-03-29","cited_by_count":78,"area":null},{"id":"2106.00736","title":"Large-Scale Wasserstein Gradient Flows","created":"2021-06-01","cited_by_count":77,"area":null},{"id":"2109.04553","title":"Is Attention Better Than Matrix Decomposition?","created":"2021-09-09","cited_by_count":77,"area":null},{"id":"2103.08902","title":"Differentiable Learning Under Triage","created":"2021-03-16","cited_by_count":76,"area":null},{"id":"2111.05177","title":"On Training Implicit Models","created":"2021-11-09","cited_by_count":75,"area":null},{"id":"2306.00148","title":"SafeDiffuser: Safe Planning with Diffusion Probabilistic Models","created":"2023-05-31","cited_by_count":75,"area":"diffusion"},{"id":"2106.14342","title":"Stabilizing Equilibrium Models by Jacobian Regularization","created":"2021-06-28","cited_by_count":72,"area":null},{"id":"2210.01741","title":"Neural Conservation Laws: A Divergence-Free Perspective","created":"2022-10-04","cited_by_count":70,"area":null},{"id":"2207.09442","title":"Theseus: A Library for Differentiable Nonlinear Optimization","created":"2022-07-19","cited_by_count":65,"area":null},{"id":"2204.08442","title":"Deep Equilibrium Optical Flow Estimation","created":"2022-04-18","cited_by_count":64,"area":null},{"id":"2112.03609","title":"Decision-Focused Learning: Through the Lens of Learning to Rank","created":"2021-12-07","cited_by_count":62,"area":null},{"id":"2210.08990","title":"Improving Object-centric Learning with Query Optimization","created":"2022-10-17","cited_by_count":60,"area":null},{"id":"2102.13156","title":"Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling","created":"2021-02-25","cited_by_count":59,"area":null},{"id":"2103.01826","title":"Strategic Classification Made Practical","created":"2021-03-02","cited_by_count":59,"area":null},{"id":"2110.05415","title":"Safe Reinforcement Learning Using Robust Control Barrier Functions","created":"2021-10-11","cited_by_count":59,"area":null},{"id":"2107.07501","title":"An End-to-End Differentiable Framework for Contact-Aware Robot Design","created":"2021-07-15","cited_by_count":54,"area":null},{"id":"2103.16021","title":"Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact","created":"2021-03-30","cited_by_count":52,"area":null},{"id":"2204.04567","title":"Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification","created":"2022-04-09","cited_by_count":50,"area":null},{"id":"2105.02343","title":"CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints","created":"2021-05-05","cited_by_count":49,"area":null},{"id":"2103.16178","title":"Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking","created":"2021-03-30","cited_by_count":47,"area":null},{"id":"2506.05233","title":"MesaNet: Sequence Modeling by Locally Optimal Test-Time Training","created":"2025-06-05","cited_by_count":47,"area":null},{"id":"2207.00787","title":"Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation","created":"2022-07-02","cited_by_count":46,"area":null},{"id":"2106.04350","title":"Nonsmooth Implicit Differentiation for Machine Learning and Optimization","created":"2021-06-08","cited_by_count":43,"area":null},{"id":"2210.12867","title":"Deep Equilibrium Approaches to Diffusion Models","created":"2022-10-23","cited_by_count":42,"area":"diffusion"},{"id":"2110.15767","title":"Adversarial Robustness with Semi-Infinite Constrained Learning","created":"2021-10-29","cited_by_count":39,"area":null},{"id":"2406.11179","title":"Learning Iterative Reasoning through Energy Diffusion","created":"2024-06-17","cited_by_count":36,"area":null},{"id":"2207.08675","title":"Learning differentiable solvers for systems with hard constraints","created":"2022-07-18","cited_by_count":34,"area":null},{"id":"2411.00566","title":"PatternBoost: Constructions in Mathematics with a Little Help from AI","created":"2024-11-01","cited_by_count":34,"area":null},{"id":"2206.14234","title":"PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming","created":"2022-06-28","cited_by_count":32,"area":null},{"id":"2206.15448","title":"Learning Iterative Reasoning through Energy Minimization","created":"2022-06-30","cited_by_count":32,"area":null},{"id":"2105.08881","title":"Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization","created":"2021-05-19","cited_by_count":31,"area":null},{"id":"2410.10807","title":"HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees","created":"2024-10-14","cited_by_count":31,"area":null},{"id":"2201.12427","title":"Towards Safe Reinforcement Learning with a Safety Editor Policy","created":"2022-01-28","cited_by_count":30,"area":null},{"id":"2307.08336","title":"RAYEN: Imposition of Hard Convex Constraints on Neural Networks","created":"2023-07-17","cited_by_count":30,"area":null},{"id":"2402.07251","title":"Physics-Informed Neural Networks with Hard Linear Equality Constraints","created":"2024-02-11","cited_by_count":30,"area":null},{"id":"2205.15213","title":"Backpropagation through Combinatorial Algorithms: Identity with Projection Works","created":"2022-05-30","cited_by_count":29,"area":"lr"},{"id":"2207.13513","title":"Learning with Combinatorial Optimization Layers: a Probabilistic Approach","created":"2022-07-27","cited_by_count":29,"area":null},{"id":"2501.17974","title":"Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization","created":"2025-01-29","cited_by_count":29,"area":"lr"},{"id":"2103.09527","title":"Implicit Normalizing Flows","created":"2021-03-17","cited_by_count":28,"area":null},{"id":"2205.06688","title":"A Unified Framework for Implicit Sinkhorn Differentiation","created":"2022-05-13","cited_by_count":28,"area":null},{"id":"2305.13768","title":"One-step differentiation of iterative algorithms","created":"2023-05-23","cited_by_count":28,"area":null},{"id":"2103.14347","title":"Combating Adversaries with Anti-Adversaries","created":"2021-03-26","cited_by_count":27,"area":null},{"id":"2112.09161","title":"Constraint-based graph network simulator","created":"2021-12-16","cited_by_count":27,"area":null},{"id":"2112.11450","title":"Max-Margin Contrastive Learning","created":"2021-12-21","cited_by_count":27,"area":null},{"id":"2203.11174","title":"DiffPoseNet: Direct Differentiable Camera Pose Estimation","created":"2022-03-21","cited_by_count":27,"area":null},{"id":"2205.13891","title":"Transformers from an Optimization Perspective","created":"2022-05-27","cited_by_count":27,"area":null},{"id":"2304.00600","title":"Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models","created":"2023-04-02","cited_by_count":27,"area":null},{"id":"2103.14779","title":"Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks","created":"2021-03-27","cited_by_count":26,"area":null},{"id":"2105.03918","title":"Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics","created":"2021-05-09","cited_by_count":26,"area":null},{"id":"2105.14937","title":"Safe Pontryagin Differentiable Programming","created":"2021-05-31","cited_by_count":26,"area":null},{"id":"2106.00553","title":"SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models","created":"2021-06-01","cited_by_count":26,"area":null},{"id":"2204.07417","title":"Safe Reinforcement Learning Using Black-Box Reachability Analysis","created":"2022-04-15","cited_by_count":26,"area":null},{"id":"2205.03076","title":"Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation","created":"2022-05-06","cited_by_count":26,"area":null},{"id":"2101.09207","title":"Differentiable Trust Region Layers for Deep Reinforcement Learning","created":"2021-01-22","cited_by_count":25,"area":null},{"id":"2110.12351","title":"Integrated Conditional Estimation-Optimization","created":"2021-10-24","cited_by_count":25,"area":null},{"id":"2106.11072","title":"Techniques for Symbol Grounding with SATNet","created":"2021-06-16","cited_by_count":24,"area":null},{"id":"2402.13412","title":"Scaling physics-informed hard constraints with mixture-of-experts","created":"2024-02-20","cited_by_count":24,"area":"moe"},{"id":"2105.01637","title":"Implicit differentiation for fast hyperparameter selection in non-smooth convex learning","created":"2021-05-04","cited_by_count":22,"area":null},{"id":"2210.01802","title":"Alternating Differentiation for Optimization Layers","created":"2022-10-03","cited_by_count":22,"area":null},{"id":"2303.09992","title":"LION: Implicit Vision Prompt Tuning","created":"2023-03-17","cited_by_count":22,"area":null},{"id":"2504.16693","title":"PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation","created":"2025-04-23","cited_by_count":22,"area":"wm"},{"id":"2106.02601","title":"Learning Hard Optimization Problems: A Data Generation Perspective","created":"2021-06-04","cited_by_count":21,"area":null},{"id":"2210.12547","title":"SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems","created":"2022-10-22","cited_by_count":21,"area":null},{"id":"2405.01758","title":"CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning","created":"2024-05-02","cited_by_count":21,"area":"diffusion"},{"id":"2506.00362","title":"FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees","created":"2025-05-31","cited_by_count":21,"area":null},{"id":"2110.06365","title":"Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method","created":"2021-10-12","cited_by_count":20,"area":null},{"id":"2203.14804","title":"Partially Does It: Towards Scene-Level FG-SBIR with Partial Input","created":"2022-03-28","cited_by_count":20,"area":null},{"id":"2205.06858","title":"Physics guided neural networks for modelling of non-linear dynamics","created":"2022-05-13","cited_by_count":20,"area":null},{"id":"2112.07464","title":"Efficient differentiable quadratic programming layers: an ADMM approach","created":"2021-12-14","cited_by_count":19,"area":null},{"id":"2210.08353","title":"MGNNI: Multiscale Graph Neural Networks with Implicit Layers","created":"2022-10-15","cited_by_count":19,"area":null},{"id":"2211.13837","title":"End-to-End Stochastic Optimization with Energy-Based Model","created":"2022-11-25","cited_by_count":19,"area":null},{"id":"2508.10480","title":"Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers","created":"2025-08-14","cited_by_count":19,"area":null},{"id":"2102.11055","title":"Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization","created":"2021-02-22","cited_by_count":18,"area":null},{"id":"2307.08964","title":"Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information","created":"2023-07-18","cited_by_count":18,"area":null},{"id":"2502.05468","title":"Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making","created":"2025-02-08","cited_by_count":18,"area":null},{"id":"2110.05645","title":"A global convergence theory for deep ReLU implicit networks via over-parameterization","created":"2021-10-11","cited_by_count":17,"area":null},{"id":"2111.12193","title":"Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation","created":"2021-11-23","cited_by_count":17,"area":null},{"id":"2203.15245","title":"Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients","created":"2022-03-29","cited_by_count":17,"area":null},{"id":"2206.05134","title":"Distributionally Robust End-to-End Portfolio Construction","created":"2022-06-10","cited_by_count":17,"area":null},{"id":"2211.06934","title":"TorchOpt: An Efficient Library for Differentiable Optimization","created":"2022-11-13","cited_by_count":17,"area":null},{"id":"2311.11600","title":"Deep Equilibrium Diffusion Restoration with Parallel Sampling","created":"2023-11-20","cited_by_count":17,"area":"diffusion"},{"id":"2403.04670","title":"End-to-end Conditional Robust Optimization","created":"2024-03-07","cited_by_count":17,"area":null},{"id":"2502.06774","title":"ENFORCE: Nonlinear Constrained Learning with Adaptive-depth Neural Projection","created":"2025-02-10","cited_by_count":17,"area":null},{"id":"2103.14722","title":"Almost Surely Stable Deep Dynamics","created":"2021-03-26","cited_by_count":16,"area":null},{"id":"2206.06135","title":"Flexible Differentiable Optimization via Model Transformations","created":"2022-06-10","cited_by_count":16,"area":null},{"id":"2209.13271","title":"The Curse of Unrolling: Rate of Differentiating Through Optimization","created":"2022-09-27","cited_by_count":16,"area":null},{"id":"2310.19007","title":"Behavior Alignment via Reward Function Optimization","created":"2023-10-29","cited_by_count":16,"area":null}],"next_cursor":"100"}