Paper List

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Summary of Machine Unlearning Using Forgetting Neural Networks, by Amartya Hatua et al.
Summary of Rare-to-frequent: Unlocking Compositional Generation Power Of Diffusion Models on Rare Concepts with Llm Guidance, by Dongmin Park et al.
Summary of A Systematic Literature Review Of Spatio-temporal Graph Neural Network Models For Time Series Forecasting and Classification, by Flavio Corradini et al.
Summary of Hamiltonian Monte Carlo on Relu Neural Networks Is Inefficient, by Vu C. Dinh et al.
Summary of Flavors Of Margin: Implicit Bias Of Steepest Descent in Homogeneous Neural Networks, by Nikolaos Tsilivis et al.
Summary of Freegaussian: Annotation-free Controllable 3d Gaussian Splats with Flow Derivatives, by Qizhi Chen et al.
Summary of Unlearning As Multi-task Optimization: a Normalized Gradient Difference Approach with An Adaptive Learning Rate, by Zhiqi Bu et al.
Summary of Inline: Inner-layer Information Exchange For Multi-task Learning on Heterogeneous Graphs, by Xinyue Feng et al.
Summary of Data Generation For Hardware-friendly Post-training Quantization, by Lior Dikstein et al.
Summary of Joint Extraction and Classification Of Danish Competences For Job Matching, by Qiuchi Li et al.
Summary of Where Do Large Learning Rates Lead Us?, by Ildus Sadrtdinov et al.
Summary of Policy Gradient For Robust Markov Decision Processes, by Qiuhao Wang et al.
Summary of The Impact Of Inference Acceleration on Bias Of Llms, by Elisabeth Kirsten et al.
Summary of Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act, by Barbara Hoffmann et al.
Summary of Deep Q-exponential Processes, by Zhi Chang et al.
Summary of Rankup: Boosting Semi-supervised Regression with An Auxiliary Ranking Classifier, by Pin-yen Huang et al.
Summary of Learning Successor Features the Simple Way, by Raymond Chua et al.
Summary of Standardization Trends on Safety and Trustworthiness Technology For Advanced Ai, by Jonghong Jeon
Summary of Multi-level Feature Distillation Of Joint Teachers Trained on Distinct Image Datasets, by Adrian Iordache et al.
Summary of Robust and Unbounded Length Generalization in Autoregressive Transformer-based Text-to-speech, by Eric Battenberg et al.
Summary of Abrupt Learning in Transformers: a Case Study on Matrix Completion, by Pulkit Gopalani et al.
Summary of Subgraph Aggregation For Out-of-distribution Generalization on Graphs, by Bowen Liu et al.
Summary of Discern: Decoding Systematic Errors in Natural Language For Text Classifiers, by Rakesh R. Menon et al.
Summary of Online Mirror Descent For Tchebycheff Scalarization in Multi-objective Optimization, by Meitong Liu et al.
Summary of Robot Policy Learning with Temporal Optimal Transport Reward, by Yuwei Fu et al.
Summary of Efficient and Effective Weight-ensembling Mixture Of Experts For Multi-task Model Merging, by Li Shen et al.
Summary of Exponentially Consistent Statistical Classification Of Continuous Sequences with Distribution Uncertainty, by Lina Zhu and Lin Zhou
Summary of Gnothi Seauton: Empowering Faithful Self-interpretability in Black-box Transformers, by Shaobo Wang et al.
Summary of Learning Infinitesimal Generators Of Continuous Symmetries From Data, by Gyeonghoon Ko et al.
Summary of Hierarchical Mixtures Of Unigram Models For Short Text Clustering: the Role Of Beta-liouville Priors, by Massimo Bilancia and Samuele Magro
Summary of Cross-entropy Is All You Need to Invert the Data Generating Process, by Patrik Reizinger et al.
Summary of Scgnet-stacked Convolution with Gated Recurrent Unit Network For Cyber Network Intrusion Detection and Intrusion Type Classification, by Rajana Akter et al.
Summary of Bayesian Optimization For Hyperparameters Tuning in Neural Networks, by Gabriele Onorato
Summary of Evaluating K-fold Cross Validation For Transformer Based Symbolic Regression Models, by Kaustubh Kislay et al.
Summary of Scenegenagent: Precise Industrial Scene Generation with Coding Agent, by Xiao Xia et al.
Summary of Remix: Training Generalized Person Re-identification on a Mixture Of Data, by Timur Mamedov et al.
Summary of Identifiability Analysis Of Linear Ode Systems with Hidden Confounders, by Yuanyuan Wang et al.
Summary of Human-readable Programs As Actors Of Reinforcement Learning Agents Using Critic-moderated Evolution, by Senne Deproost et al.
Summary of On the Robustness Of Adversarial Training Against Uncertainty Attacks, by Emanuele Ledda et al.
Summary of Individualised Recovery Trajectories Of Patients with Impeded Mobility, Using Distance Between Probability Distributions Of Learnt Graphs, by Chuqiao Zhang et al.
Summary of Node Regression on Latent Position Random Graphs Via Local Averaging, by Martin Gjorgjevski et al.
Summary of A Machine Learning-based Secure Face Verification Scheme and Its Applications to Digital Surveillance, by Huan-chih Wang and Ja-ling Wu
Summary of Enhance Hyperbolic Representation Learning Via Second-order Pooling, by Kun Song et al.
Summary of Refined Risk Bounds For Unbounded Losses Via Transductive Priors, by Jian Qian et al.
Summary of Faster Local Solvers For Graph Diffusion Equations, by Jiahe Bai et al.
Summary of Mitigating Paraphrase Attacks on Machine-text Detectors Via Paraphrase Inversion, by Rafael Rivera Soto et al.
Summary of Dimensionality-induced Information Loss Of Outliers in Deep Neural Networks, by Kazuki Uematsu et al.
Summary of Minimum Entropy Coupling with Bottleneck, by M.reza Ebrahimi et al.
Summary of Sequential Choice in Ordered Bundles, by Rajeev Kohli et al.
Summary of Pushing the Limits Of All-atom Geometric Graph Neural Networks: Pre-training, Scaling and Zero-shot Transfer, by Zihan Pengmei et al.
Summary of The Effects Of Multi-task Learning on Relu Neural Network Functions, by Julia Nakhleh et al.
Summary of How Does Critical Batch Size Scale in Pre-training?, by Hanlin Zhang et al.
Summary of Cfsafety: Comprehensive Fine-grained Safety Assessment For Llms, by Zhihao Liu et al.
Summary of Minimax Optimality Of Deep Neural Networks on Dependent Data Via Pac-bayes Bounds, by Pierre Alquier and William Kengne
Summary of On the Role Of Depth and Looping For In-context Learning with Task Diversity, by Khashayar Gatmiry et al.
Summary of Stochastic Approximation with Unbounded Markovian Noise: a General-purpose Theorem, by Shaan Ul Haque et al.
Summary of Sliced-wasserstein-based Anomaly Detection and Open Dataset For Localized Critical Peak Rebates, by Julien Pallage et al.
Summary of Multi-view Clustering Integrating Anchor Attribute and Structural Information, by Xuetong Li et al.
Summary of Generating Realistic Tabular Data with Large Language Models, by Dang Nguyen et al.
Summary of On the Statistical Complexity Of Estimating Vendi Scores From Empirical Data, by Azim Ospanov and Farzan Farnia
Summary of Rdsa: a Robust Deep Graph Clustering Framework Via Dual Soft Assignment, by Yang Xiang et al.
Summary of Reliable and Compact Graph Fine-tuning Via Graphsparse Prompting, by Bo Jiang et al.
Summary of Marco: Multi-agent Real-time Chat Orchestration, by Anubhav Shrimal et al.
Summary of Towards Multi-dimensional Explanation Alignment For Medical Classification, by Lijie Hu et al.
Summary of Predicting Sub-population Specific Viral Evolution, by Wenxian Shi et al.
Summary of Sabotage Evaluations For Frontier Models, by Joe Benton et al.
Summary of Llm-forest: Ensemble Learning Of Llms with Graph-augmented Prompts For Data Imputation, by Xinrui He et al.
Summary of A Multi-agent Reinforcement Learning Testbed For Cognitive Radio Applications, by Sriniketh Vangaru et al.
Summary of Diffusion-nested Auto-regressive Synthesis Of Heterogeneous Tabular Data, by Hengrui Zhang et al.
Summary of Not All Llm-generated Data Are Equal: Rethinking Data Weighting in Text Classification, by Hsun-yu Kuo et al.
Summary of Deep Learning Methods For the Noniterative Conditional Expectation G-formula For Causal Inference From Complex Observational Data, by Sophia M Rein et al.
Summary of L3ms — Lagrange Large Language Models, by Guneet S. Dhillon et al.
Summary of Bayesian Regression For Predicting Subscription to Bank Term Deposits in Direct Marketing Campaigns, by Muhammad Farhan Tanvir et al.
Summary of Personalized Federated Learning with Mixture Of Models For Adaptive Prediction and Model Fine-tuning, by Pouya M. Ghari and Yanning Shen
Summary of Multitok: Variable-length Tokenization For Efficient Llms Adapted From Lzw Compression, by Noel Elias et al.
Summary of Exploring the Design Space Of Diffusion Bridge Models Via Stochasticity Control, by Shaorong Zhang et al.
Summary of Super-resolution in Disordered Media Using Neural Networks, by Alexander Christie et al.
Summary of Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization For Improved Non-convex Optimization, by Juyoung Yun
Summary of Deep Trees For (un)structured Data: Tractability, Performance, and Interpretability, by Dimitris Bertsimas et al.
Summary of Reducing the Scope Of Language Models with Circuit Breakers, by David Yunis et al.
Summary of The Limits Of Transfer Reinforcement Learning with Latent Low-rank Structure, by Tyler Sam et al.
Summary of Identifying Selections For Unsupervised Subtask Discovery, by Yiwen Qiu et al.
Summary of Graph Sparsification For Enhanced Conformal Prediction in Graph Neural Networks, by Yuntian He et al.
Summary of E(3)-invariant Diffusion Model For Pocket-aware Peptide Generation, by Po-yu Liang and Jun Bai
Summary of Finteamexperts: Role Specialized Moes For Financial Analysis, by Yue Yu et al.
Summary of Meta-learning For Speeding Up Large Model Inference in Decentralized Environments, by Yuzhe Yang et al.
Summary of Retrieval-retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge, by Heewoong Noh et al.
Summary of Towards Trustworthy Machine Learning in Production: An Overview Of the Robustness in Mlops Approach, by Firas Bayram et al.
Summary of Falcon: Feedback-driven Adaptive Long/short-term Memory Reinforced Coding Optimization System, by Zeyuan Li et al.
Summary of Linformer: a Linear-based Lightweight Transformer Architecture For Time-aware Mimo Channel Prediction, by Yanliang Jin et al.
Summary of Can Machines Think Like Humans? a Behavioral Evaluation Of Llm-agents in Dictator Games, by Ji Ma
Summary of Energy-based Diffusion Language Models For Text Generation, by Minkai Xu et al.
Summary of Unveiling the Role Of Expert Guidance: a Comparative Analysis Of User-centered Imitation Learning and Traditional Reinforcement Learning, by Amr Gomaa and Bilal Mahdy
Summary of Domain Adaptation with a Single Vision-language Embedding, by Mohammad Fahes et al.
Summary of Bayesian Collaborative Bandits with Thompson Sampling For Improved Outreach in Maternal Health Program, by Arpan Dasgupta et al.
Summary of Sum-of-squares Lower Bounds For Non-gaussian Component Analysis, by Ilias Diakonikolas et al.
Summary of Uft: Unifying Fine-tuning Of Sft and Rlhf/dpo/una Through a Generalized Implicit Reward Function, by Zhichao Wang et al.
Summary of A Temporal Linear Network For Time Series Forecasting, by Remi Genet and Hugo Inzirillo
Summary of Inverting Gradient Attacks Makes Powerful Data Poisoning, by Wassim Bouaziz et al.
Summary of Shadowkv: Kv Cache in Shadows For High-throughput Long-context Llm Inference, by Hanshi Sun et al.