Paper List

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Summary of Cross-domain Policy Adaptation by Capturing Representation Mismatch, By Jiafei Lyu et al.
Summary of Efficient Recurrent Off-policy Rl Requires a Context-encoder-specific Learning Rate, by Fan-ming Luo et al.
Summary of Reshuffling Resampling Splits Can Improve Generalization Of Hyperparameter Optimization, by Thomas Nagler et al.
Summary of Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing, by Peter Lippmann et al.
Summary of Ags-gnn: Attribute-guided Sampling For Graph Neural Networks, by Siddhartha Shankar Das et al.
Summary of Ivideogpt: Interactive Videogpts Are Scalable World Models, by Jialong Wu et al.
Summary of Learning From True-false Labels Via Multi-modal Prompt Retrieving, by Zhongnian Li et al.
Summary of Cardinality Estimation on Hyper-relational Knowledge Graphs, by Fei Teng et al.
Summary of Rethinking Debiasing: Real-world Bias Analysis and Mitigation, by Peng Kuang et al.
Summary of Adversarial Attacks on Hidden Tasks in Multi-task Learning, by Yu Zhe et al.
Summary of Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee, by Mengtong Gao et al.
Summary of Learning Antenna Pointing Correction in Operations: Efficient Calibration Of a Black Box, by Leif Bergerhoff
Summary of Accelerating 3d Molecule Generation Via Jointly Geometric Optimal Transport, by Haokai Hong et al.
Summary of Novel Kernel Models and Exact Representor Theory For Neural Networks Beyond the Over-parameterized Regime, by Alistair Shilton et al.
Summary of Ftmixer: Frequency and Time Domain Representations Fusion For Time Series Modeling, by Zhengnan Li et al.
Summary of Paramrel: Learning Parameter Space Representation Via Progressively Encoding Bayesian Flow Networks, by Zhangkai Wu et al.
Summary of Bdetclip: Multimodal Prompting Contrastive Test-time Backdoor Detection, by Yuwei Niu et al.
Summary of Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders, by Qichao Shentu et al.
Summary of Prompt Tuning Strikes Back: Customizing Foundation Models with Low-rank Prompt Adaptation, by Abhinav Jain et al.
Summary of Minimizing Ucb: a Better Local Search Strategy in Local Bayesian Optimization, by Zheyi Fan et al.
Summary of Semi-supervised Learning Guided by the Generalized Bayes Rule Under Soft Revision, By Stefan Dietrich et al.
Summary of Towards a Probabilistic Fusion Approach For Robust Battery Prognostics, by Jokin Alcibar et al.
Summary of The Buffer Mechanism For Multi-step Information Reasoning in Language Models, by Zhiwei Wang et al.
Summary of Rankability-enhanced Revenue Uplift Modeling Framework For Online Marketing, by Bowei He et al.
Summary of Certified Inventory Control Of Critical Resources, by Ludvig Hult and Dave Zachariah and Petre Stoica
Summary of Conformal Classification with Equalized Coverage For Adaptively Selected Groups, by Yanfei Zhou et al.
Summary of Is Algorithmic Stability Testable? a Unified Framework Under Computational Constraints, by Yuetian Luo and Rina Foygel Barber
Summary of Towards Better Understanding Of In-context Learning Ability From In-context Uncertainty Quantification, by Shang Liu et al.
Summary of Quantifying the Gain in Weak-to-strong Generalization, by Moses Charikar et al.
Summary of Bayesian Optimization Of Functions Over Node Subsets in Graphs, by Huidong Liang et al.
Summary of A Counterfactual Analysis Of the Dishonest Casino, by Martin Haugh and Raghav Singal
Summary of Scaling Law For Time Series Forecasting, by Jingzhe Shi et al.
Summary of Beyond the Noise: Intrinsic Dimension Estimation with Optimal Neighbourhood Identification, by Antonio Di Noia et al.
Summary of Exploring the Evolution Of Hidden Activations with Live-update Visualization, by Xianglin Yang et al.
Summary of Better Membership Inference Privacy Measurement Through Discrepancy, by Ruihan Wu et al.
Summary of Intelligent Go-explore: Standing on the Shoulders Of Giant Foundation Models, by Cong Lu et al.
Summary of Enhancing Learning with Label Differential Privacy by Vector Approximation, By Puning Zhao et al.
Summary of Online Prompt Pricing Based on Combinatorial Multi-armed Bandit and Hierarchical Stackelberg Game, by Meiling Li et al.
Summary of Prodag: Projection-induced Variational Inference For Directed Acyclic Graphs, by Ryan Thompson et al.
Summary of Diffusion Actor-critic with Entropy Regulator, by Yinuo Wang et al.
Summary of Learning the Distribution Map in Reverse Causal Performative Prediction, by Daniele Bracale et al.
Summary of Extracting Heuristics From Large Language Models For Reward Shaping in Reinforcement Learning, by Siddhant Bhambri et al.
Summary of Indexed Minimum Empirical Divergence-based Algorithms For Linear Bandits, by Jie Bian and Vincent Y. F. Tan
Summary of Denoising Lm: Pushing the Limits Of Error Correction Models For Speech Recognition, by Zijin Gu et al.
Summary of Extracting Prompts by Inverting Llm Outputs, By Collin Zhang et al.
Summary of Fast Inference with Kronecker-sparse Matrices, by Antoine Gonon et al.
Summary of What Variables Affect Out-of-distribution Generalization in Pretrained Models?, by Md Yousuf Harun et al.
Summary of Adjointdeis: Efficient Gradients For Diffusion Models, by Zander W. Blasingame and Chen Liu
Summary of Oac: Output-adaptive Calibration For Accurate Post-training Quantization, by Ali Edalati (1) et al.
Summary of Amortized Nonmyopic Active Search Via Deep Imitation Learning, by Quan Nguyen et al.
Summary of Ceebert: Cross-domain Inference in Early Exit Bert, by Divya Jyoti Bajpai and Manjesh Kumar Hanawal
Summary of Credal Wrapper Of Model Averaging For Uncertainty Estimation on Out-of-distribution Detection, by Kaizheng Wang et al.
Summary of Reinforcement Learning For Infinite-horizon Average-reward Linear Mdps Via Approximation by Discounted-reward Mdps, By Kihyuk Hong et al.
Summary of Revisiting Moe and Dense Speed-accuracy Comparisons For Llm Training, by Xianzhi Du et al.
Summary of Elastogen: 4d Generative Elastodynamics, by Yutao Feng et al.
Summary of Message-passing Monte Carlo: Generating Low-discrepancy Point Sets Via Graph Neural Networks, by T. Konstantin Rusch et al.
Summary of Model-agnostic Utility-preserving Biometric Information Anonymization, by Chun-fu Chen et al.
Summary of A Classification Model Based on a Population Of Hypergraphs, by Samuel Barton et al.
Summary of Direct Preference Optimization with Unobserved Preference Heterogeneity, by Keertana Chidambaram et al.
Summary of 4+3 Phases Of Compute-optimal Neural Scaling Laws, by Elliot Paquette et al.
Summary of A Survey Of Distributed Learning in Cloud, Mobile, and Edge Settings, by Madison Threadgill et al.
Summary of Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization, by Bao Hoang et al.
Summary of Pure Exploration For Constrained Best Mixed Arm Identification with a Fixed Budget, by Dengwang Tang et al.
Summary of Ultra-mc: a Unified Approach to Learning Mixtures Of Markov Chains Via Hitting Times, by Fabian Spaeh et al.
Summary of Revisiting Day-ahead Electricity Price: Simple Model Save Millions, by Linian Wang et al.
Summary of Detail: Task Demonstration Attribution For Interpretable In-context Learning, by Zijian Zhou et al.
Summary of Bimix: a Bivariate Data Mixing Law For Language Model Pretraining, by Ce Ge et al.
Summary of Slim-llm: Salience-driven Mixed-precision Quantization For Large Language Models, by Wei Huang et al.
Summary of Analogcoder: Analog Circuit Design Via Training-free Code Generation, by Yao Lai et al.
Summary of How Does Bayes Error Limit Probabilistic Robust Accuracy, by Ruihan Zhang and Jun Sun
Summary of Mallowspo: Fine-tune Your Llm with Preference Dispersions, by Haoxian Chen et al.
Summary of Fast Bayesian Inference For Neutrino Non-standard Interactions at Dark Matter Direct Detection Experiments, by Dorian W. P. Amaral et al.
Summary of Interpretable and Editable Programmatic Tree Policies For Reinforcement Learning, by Hector Kohler et al.
Summary of Understanding the Dynamics Of the Frequency Bias in Neural Networks, by Juan Molina et al.
Summary of Sfddm: Single-fold Distillation For Diffusion Models, by Chi Hong et al.
Summary of Efficiently Training Deep-learning Parametric Policies Using Lagrangian Duality, by Andrew Rosemberg et al.
Summary of Mass: Multi-attribute Selective Suppression For Utility-preserving Data Transformation From An Information-theoretic Perspective, by Yizhuo Chen et al.
Summary of In-context Time Series Predictor, by Jiecheng Lu et al.
Summary of Hand Bone Age Estimation Using Divide and Conquer Strategy and Lightweight Convolutional Neural Networks, by Amin Ahmadi Kasani et al.
Summary of Linking In-context Learning in Transformers to Human Episodic Memory, by Li Ji-an et al.
Summary of Private Regression Via Data-dependent Sufficient Statistic Perturbation, by Cecilia Ferrando et al.
Summary of A Rescaling-invariant Lipschitz Bound Based on Path-metrics For Modern Relu Network Parameterizations, by Antoine Gonon et al.
Summary of Re-adapt: Reverse Engineered Adaptation Of Large Language Models, by William Fleshman and Benjamin Van Durme
Summary of Parameter-free Clipped Gradient Descent Meets Polyak, by Yuki Takezawa et al.
Summary of Editworld: Simulating World Dynamics For Instruction-following Image Editing, by Ling Yang et al.
Summary of Didi: Diffusion-guided Diversity For Offline Behavioral Generation, by Jinxin Liu et al.
Summary of Recurrent Early Exits For Federated Learning with Heterogeneous Clients, by Royson Lee et al.
Summary of Implicit Personalization in Language Models: a Systematic Study, by Zhijing Jin et al.
Summary of Scalable Optimization in the Modular Norm, by Tim Large and Yang Liu and Minyoung Huh and Hyojin Bahng and Phillip Isola and Jeremy Bernstein
Summary of Pagoda: Progressive Growing Of a One-step Generator From a Low-resolution Diffusion Teacher, by Dongjun Kim et al.
Summary of From Explicit Cot to Implicit Cot: Learning to Internalize Cot Step by Step, By Yuntian Deng et al.
Summary of Analysis Of Atom-level Pretraining with Quantum Mechanics (qm) Data For Graph Neural Networks Molecular Property Models, by Jose Arjona-medina and Ramil Nugmanov
Summary of Differentiable Annealed Importance Sampling Minimizes the Symmetrized Kullback-leibler Divergence Between Initial and Target Distribution, by Johannes Zenn and Robert Bamler
Summary of Local Causal Discovery For Structural Evidence Of Direct Discrimination, by Jacqueline Maasch et al.
Summary of Privileged Sensing Scaffolds Reinforcement Learning, by Edward S. Hu et al.
Summary of Pv-tuning: Beyond Straight-through Estimation For Extreme Llm Compression, by Vladimir Malinovskii et al.
Summary of Conditional Diffusion on Web-scale Image Pairs Leads to Diverse Image Variations, by Manoj Kumar et al.
Summary of Terdit: Ternary Diffusion Models with Transformers, by Xudong Lu et al.
Summary of Not All Language Model Features Are One-dimensionally Linear, by Joshua Engels et al.
Summary of A Nurse Is Blue and Elephant Is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns, by Asaf Yehudai et al.