{"total":95,"rows":[{"id":"2103.00550","title":"A Survey on Deep Semi-supervised Learning","created":"2021-02-28","cited_by_count":251,"area":null},{"id":"2103.02438","title":"Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design","created":"2021-03-03","cited_by_count":106,"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":"2202.00817","title":"Do Differentiable Simulators Give Better Policy Gradients?","created":"2022-02-02","cited_by_count":89,"area":null},{"id":"2111.05803","title":"Gradients are Not All You Need","created":"2021-11-10","cited_by_count":86,"area":null},{"id":"2211.09761","title":"Efficient Transformers with Dynamic Token Pooling","created":"2022-11-17","cited_by_count":76,"area":null},{"id":"2202.09533","title":"C2N: Practical Generative Noise Modeling for Real-World Denoising","created":"2022-02-19","cited_by_count":56,"area":null},{"id":"2112.13835","title":"Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies","created":"2021-12-27","cited_by_count":52,"area":null},{"id":"2210.07992","title":"A Variational Perspective on Generative Flow Networks","created":"2022-10-14","cited_by_count":39,"area":null},{"id":"2210.08572","title":"Automatic Differentiation of Programs with Discrete Randomness","created":"2022-10-16","cited_by_count":29,"area":null},{"id":"2506.09477","title":"On a few pitfalls in KL divergence gradient estimation for RL","created":"2025-06-11","cited_by_count":29,"area":null},{"id":"2110.00280","title":"Generalizable Human Pose Triangulation","created":"2021-10-01","cited_by_count":24,"area":null},{"id":"2202.09497","title":"Gradient Estimation with Discrete Stein Operators","created":"2022-02-19","cited_by_count":23,"area":null},{"id":"2105.08481","title":"Parallel Attention Network with Sequence Matching for Video Grounding","created":"2021-05-18","cited_by_count":22,"area":null},{"id":"2106.13695","title":"CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals","created":"2021-06-25","cited_by_count":22,"area":null},{"id":"2205.13492","title":"Sparse Graph Learning from Spatiotemporal Time Series","created":"2022-05-26","cited_by_count":22,"area":null},{"id":"2211.07819","title":"General Intelligence Requires Rethinking Exploration","created":"2022-11-15","cited_by_count":20,"area":null},{"id":"2307.11346","title":"CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study","created":"2023-07-21","cited_by_count":19,"area":null},{"id":"2101.10276","title":"Emergent Communication under Competition","created":"2021-01-25","cited_by_count":18,"area":null},{"id":"2106.10314","title":"Differentiable Particle Filtering without Modifying the Forward Pass","created":"2021-06-18","cited_by_count":18,"area":null},{"id":"2106.11302","title":"Nested Variational Inference","created":"2021-06-21","cited_by_count":14,"area":null},{"id":"2306.16803","title":"Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis","created":"2023-06-29","cited_by_count":13,"area":null},{"id":"2105.14900","title":"A unified view of likelihood ratio and reparameterization gradients","created":"2021-05-31","cited_by_count":12,"area":null},{"id":"2104.00428","title":"Storchastic: A Framework for General Stochastic Automatic Differentiation","created":"2021-04-01","cited_by_count":11,"area":null},{"id":"2311.04453","title":"Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments","created":"2023-11-08","cited_by_count":11,"area":null},{"id":"2408.11172","title":"SubgoalXL: Subgoal-based Expert Learning for Theorem Proving","created":"2024-08-20","cited_by_count":11,"area":null},{"id":"2201.09765","title":"Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning","created":"2022-01-24","cited_by_count":10,"area":null},{"id":"2202.11818","title":"Consistent Dropout for Policy Gradient Reinforcement Learning","created":"2022-02-23","cited_by_count":10,"area":null},{"id":"2211.17263","title":"Plateau-reduced Differentiable Path Tracing","created":"2022-11-30","cited_by_count":10,"area":null},{"id":"2106.06932","title":"Characterizing the Gap Between Actor-Critic and Policy Gradient","created":"2021-06-13","cited_by_count":9,"area":null},{"id":"2203.07671","title":"Safe Neurosymbolic Learning with Differentiable Symbolic Execution","created":"2022-03-15","cited_by_count":9,"area":null},{"id":"2405.00532","title":"ULLER: A Unified Language for Learning and Reasoning","created":"2024-05-01","cited_by_count":9,"area":null},{"id":"2301.03480","title":"Differentiable Simulations for Enhanced Sampling of Rare Events","created":"2023-01-09","cited_by_count":8,"area":null},{"id":"2107.13361","title":"Snippet Policy Network for Multi-class Varied-length ECG Early Classification","created":"2021-07-28","cited_by_count":7,"area":null},{"id":"2304.11153","title":"Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single","created":"2023-04-21","cited_by_count":7,"area":null},{"id":"2103.00668","title":"Learning Proposals for Probabilistic Programs with Inference Combinators","created":"2021-03-01","cited_by_count":6,"area":null},{"id":"2112.13942","title":"PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation","created":"2021-12-27","cited_by_count":6,"area":null},{"id":"2202.02142","title":"Deep invariant networks with differentiable augmentation layers","created":"2022-02-04","cited_by_count":6,"area":null},{"id":"2208.10530","title":"Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference","created":"2022-08-22","cited_by_count":6,"area":null},{"id":"2308.16680","title":"Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics","created":"2023-08-31","cited_by_count":6,"area":null},{"id":"2401.14919","title":"PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus","created":"2024-01-26","cited_by_count":6,"area":null},{"id":"2106.13125","title":"Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation","created":"2021-06-24","cited_by_count":5,"area":null},{"id":"2206.01829","title":"Drawing out of Distribution with Neuro-Symbolic Generative Models","created":"2022-06-03","cited_by_count":5,"area":null},{"id":"2301.01236","title":"A Tutorial on Parametric Variational Inference","created":"2023-01-03","cited_by_count":4,"area":null},{"id":"2311.02516","title":"Forward $\\chi^2$ Divergence Based Variational Importance Sampling","created":"2023-11-04","cited_by_count":4,"area":null},{"id":"2403.00158","title":"Automated Efficient Estimation using Monte Carlo Efficient Influence Functions","created":"2024-02-29","cited_by_count":4,"area":null},{"id":"2406.15742","title":"Probabilistic Programming with Programmable Variational Inference","created":"2024-06-22","cited_by_count":4,"area":null},{"id":"2602.16375","title":"Variable-Length Semantic IDs for Recommender Systems","created":"2026-02-18","cited_by_count":4,"area":null},{"id":"2107.06393","title":"Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface","created":"2021-07-04","cited_by_count":3,"area":null},{"id":"2107.09359","title":"An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients","created":"2021-07-20","cited_by_count":3,"area":null},{"id":"2303.06145","title":"Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances","created":"2023-03-10","cited_by_count":3,"area":null},{"id":"2402.01263","title":"A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing","created":"2024-02-02","cited_by_count":3,"area":null},{"id":"2408.05834","title":"Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm","created":"2024-08-11","cited_by_count":3,"area":null},{"id":"2602.08306","title":"TextResNet: Decoupling and Routing Optimization Signals in Compound AI Systems via Deep Residual Tuning","created":"2026-02-09","cited_by_count":3,"area":null},{"id":"2202.10122","title":"HCMD-zero: Learning Value Aligned Mechanisms from Data","created":"2022-02-21","cited_by_count":2,"area":null},{"id":"2203.12679","title":"Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs","created":"2022-03-23","cited_by_count":2,"area":null},{"id":"2206.12675","title":"Learning to Infer 3D Shape Programs with Differentiable Renderer","created":"2022-06-25","cited_by_count":2,"area":null},{"id":"2307.14193","title":"Efficient Learning of Discrete-Continuous Computation Graphs","created":"2023-07-26","cited_by_count":2,"area":null},{"id":"2310.02340","title":"Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing","created":"2023-10-03","cited_by_count":2,"area":null},{"id":"2401.01510","title":"Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering","created":"2024-01-03","cited_by_count":2,"area":null},{"id":"2505.19619","title":"SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows","created":"2025-05-26","cited_by_count":2,"area":null},{"id":"2603.17145","title":"REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2203.09565","title":"Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination","created":"2022-03-17","cited_by_count":1,"area":null},{"id":"2209.14488","title":"Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training","created":"2022-09-29","cited_by_count":1,"area":null},{"id":"2307.11957","title":"High-performance real-world optical computing trained by in situ gradient-based model-free optimization","created":"2023-07-22","cited_by_count":1,"area":null},{"id":"2309.12095","title":"Bayesian sparsification for deep neural networks with Bayesian model reduction","created":"2023-09-21","cited_by_count":1,"area":null},{"id":"2401.10603","title":"ZnTrack -- Data as Code","created":"2024-01-19","cited_by_count":1,"area":null},{"id":"2506.15836","title":"Code Rate Optimization via Neural Polar Decoders","created":"2025-06-18","cited_by_count":1,"area":null},{"id":"2601.16510","title":"Learning to Optimize by Differentiable Programming","created":"2026-01-23","cited_by_count":1,"area":null},{"id":"2602.03896","title":"A hitchhiker's guide to Poisson gradient estimation","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2604.02121","title":"Gradient estimators for parameter inference in discrete stochastic kinetic models","created":"2026-04-02","cited_by_count":1,"area":null},{"id":"2106.07260","title":"RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation","created":"2021-06-14","cited_by_count":0,"area":null},{"id":"2110.07700","title":"Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units","created":"2021-10-14","cited_by_count":0,"area":null},{"id":"2205.04464","title":"Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization","created":"2022-05-08","cited_by_count":0,"area":null},{"id":"2205.04545","title":"A Probabilistic Generative Model of Free Categories","created":"2022-05-09","cited_by_count":0,"area":null},{"id":"2211.07082","title":"Learning Latent Part-Whole Hierarchies for Point Clouds","created":"2022-11-14","cited_by_count":0,"area":null},{"id":"2212.13587","title":"Variance Reduction for Score Functions Using Optimal Baselines","created":"2022-12-27","cited_by_count":0,"area":null},{"id":"2304.03081","title":"Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects","created":"2023-04-06","cited_by_count":0,"area":null},{"id":"2305.11017","title":"Deep Metric Tensor Regularized Policy Gradient","created":"2023-05-18","cited_by_count":0,"area":null},{"id":"2306.05107","title":"Unsupervised augmentation optimization for few-shot medical image segmentation","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2308.03257","title":"TempFuser: Learning Agile, Tactical, and Acrobatic Flight Maneuvers Using a Long Short-Term Temporal Fusion Transformer","created":"2023-08-07","cited_by_count":0,"area":null},{"id":"2310.14659","title":"Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs","created":"2023-10-23","cited_by_count":0,"area":null},{"id":"2402.11752","title":"Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing","created":"2024-02-19","cited_by_count":0,"area":null},{"id":"2508.09347","title":"Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2509.24736","title":"Bundle Network: a Machine Learning-Based Bundle Method","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2512.05680","title":"Meta-Learning Multi-armed Bandits for Beam Tracking in 5G and 6G Networks","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2602.05119","title":"Unbiased Single-Queried Gradient for Combinatorial Objective","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2602.17375","title":"MDP Planning as Policy Inference","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2603.16741","title":"Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2605.07520","title":"Model-Driven Policy Optimization in Differentiable Simulators via Stochastic Exploration","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2606.26369","title":"Scoring Is Not Enough: Addressing Gaps in Utility-fairness Trade-offs for Ranking","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.07840","title":"GradInf: Gradient Estimation as Probabilistic Inference","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2608.02073","title":"Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.14511","title":"Learning-to-Transition for Large-scale and High-Order MIMO Detection","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2610.18495","title":"Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}