gradient-based learning

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization ICLR 2025 On the Power of Context-Enhanced Learning in LLMs ICML 2025 Provable Length Generalization in Sequence Prediction via Spectral Filtering ICML 2025 ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models NeurIPS 2024 Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning ICML 2024 Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024 Recurrent neural networks: vanishing and exploding gradients are not the end of the story NeurIPS 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Backpropagation through Combinatorial Algorithms: Identity with Projection Works ICLR 2023 Differentiable Clustering with Perturbed Spanning Forests NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets ICML 2023 Gradient-Based Feature Learning under Structured Data NeurIPS 2023 Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023 Knowledge Intensive Learning of Cutset Networks UAI 2023 Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics ICLR 2022 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NeurIPS 2022 Long Expressive Memory for Sequence Modeling ICLR 2022 Minimizing Control for Credit Assignment with Strong Feedback ICML 2022 On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation NeurIPS 2022 Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022 BOIL: Towards Representation Change for Few-shot Learning ICLR 2021 Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation ICML 2021 Deep Residual Learning in Spiking Neural Networks NeurIPS 2021