Paper List

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Summary of Large Language Model Confidence Estimation Via Black-box Access, by Tejaswini Pedapati et al.
Summary of Tidmad: Time Series Dataset For Discovering Dark Matter with Ai Denoising, by J. T. Fry et al.
Summary of Why Has Predicting Downstream Capabilities Of Frontier Ai Models with Scale Remained Elusive?, by Rylan Schaeffer et al.
Summary of Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities For Out-of-sample Extension, by Shuang Ni et al.
Summary of Element-wise Multiplication Based Deeper Physics-informed Neural Networks, by Feilong Jiang et al.
Summary of Aligning Agents Like Large Language Models, by Adam Jelley et al.
Summary of Mcsqa: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans, By Yusuke Sakai et al.
Summary of What Do Language Models Learn in Context? the Structured Task Hypothesis, by Jiaoda Li et al.
Summary of Multi-agent Imitation Learning: Value Is Easy, Regret Is Hard, by Jingwu Tang et al.
Summary of R-conv: An Analytical Approach For Efficient Data Reconstruction Via Convolutional Gradients, by Tamer Ahmed Eltaras et al.
Summary of The Clrs-text Algorithmic Reasoning Language Benchmark, by Larisa Markeeva et al.
Summary of Solving Inverse Problems in Protein Space Using Diffusion-based Priors, by Axel Levy et al.
Summary of Simulating, Fast and Slow: Learning Policies For Black-box Optimization, by Fabio Valerio Massoli et al.
Summary of Data Measurements For Decentralized Data Markets, by Charles Lu et al.
Summary of Open-endedness Is Essential For Artificial Superhuman Intelligence, by Edward Hughes et al.
Summary of Transformers Need Glasses! Information Over-squashing in Language Tasks, by Federico Barbero et al.
Summary of Self-play with Adversarial Critic: Provable and Scalable Offline Alignment For Language Models, by Xiang Ji et al.
Summary of Generative Ai-in-the-loop: Integrating Llms and Gpts Into the Next Generation Networks, by Han Zhang et al.
Summary of Xmil: Insightful Explanations For Multiple Instance Learning in Histopathology, by Julius Hense et al.
Summary of What Is Dataset Distillation Learning?, by William Yang et al.
Summary of Stratified Prediction-powered Inference For Hybrid Language Model Evaluation, by Adam Fisch et al.
Summary of Noisygl: a Comprehensive Benchmark For Graph Neural Networks Under Label Noise, by Zhonghao Wang et al.
Summary of Representational Alignment Supports Effective Machine Teaching, by Ilia Sucholutsky and Katherine M. Collins and Maya Malaviya and Nori Jacoby and Weiyang Liu and Theodore R. Sumers and Michalis Korakakis and Umang Bhatt and Mark Ho and Joshua B. Tenenbaum and Brad Love and Zachary A. Pardos and Adrian Weller and Thomas L. Griffiths
Summary of Semantically Diverse Language Generation For Uncertainty Estimation in Language Models, by Lukas Aichberger et al.
Summary of Reassessing How to Compare and Improve the Calibration Of Machine Learning Models, by Muthu Chidambaram and Rong Ge
Summary of Batch-in-batch: a New Adversarial Training Framework For Initial Perturbation and Sample Selection, by Yinting Wu (1) et al.
Summary of Dynamic Angular Synchronization Under Smoothness Constraints, by Ernesto Araya et al.
Summary of Bootstrapping Expectiles in Reinforcement Learning, by Pierre Clavier et al.
Summary of Scaling and Evaluating Sparse Autoencoders, by Leo Gao et al.
Summary of On Limitation Of Transformer For Learning Hmms, by Jiachen Hu et al.
Summary of Interpretable Lightweight Transformer Via Unrolling Of Learned Graph Smoothness Priors, by Tam Thuc Do et al.
Summary of A Large-scale Neutral Comparison Study Of Survival Models on Low-dimensional Data, by Lukas Burk et al.
Summary of Multistep Distillation Of Diffusion Models Via Moment Matching, by Tim Salimans and Thomas Mensink and Jonathan Heek and Emiel Hoogeboom
Summary of From Tissue Plane to Organ World: a Benchmark Dataset For Multimodal Biomedical Image Registration Using Deep Co-attention Networks, by Yifeng Wang et al.
Summary of Compressible Dynamics in Deep Overparameterized Low-rank Learning & Adaptation, by Can Yaras et al.
Summary of Legal Judgment Reimagined: Predex and the Rise Of Intelligent Ai Interpretation in Indian Courts, by Shubham Kumar Nigam et al.
Summary of Do Language Models Understand Morality? Towards a Robust Detection Of Moral Content, by Luana Bulla et al.
Summary of Optimal Batched Linear Bandits, by Xuanfei Ren et al.
Summary of Learned Feature Importance Scores For Automated Feature Engineering, by Yihe Dong et al.
Summary of Fast Redescription Mining Using Locality-sensitive Hashing, by Maiju Karjalainen et al.
Summary of Improving Physics-augmented Continuum Neural Radiance Field-based Geometry-agnostic System Identification with Lagrangian Particle Optimization, by Takuhiro Kaneko
Summary of Pointer-guided Pre-training: Infusing Large Language Models with Paragraph-level Contextual Awareness, by Lars Hillebrand et al.
Summary of Repurposing Language Models Into Embedding Models: Finding the Compute-optimal Recipe, by Alicja Ziarko et al.
Summary of Securing Equal Share: a Principled Approach For Learning Multiplayer Symmetric Games, by Jiawei Ge et al.
Summary of Vectorized Conditional Neural Fields: a Framework For Solving Time-dependent Parametric Partial Differential Equations, by Jan Hagnberger et al.
Summary of Latent Neural Operator For Solving Forward and Inverse Pde Problems, by Tian Wang and Chuang Wang
Summary of Breeding Programs Optimization with Reinforcement Learning, by Omar G. Younis et al.
Summary of Statistical Multicriteria Benchmarking Via the Gsd-front, by Christoph Jansen (1) et al.
Summary of Provably Neural Active Learning Succeeds Via Prioritizing Perplexing Samples, by Dake Bu et al.
Summary of A Probabilistic Approach to Learning the Degree Of Equivariance in Steerable Cnns, by Lars Veefkind et al.
Summary of Position: Embracing Negative Results in Machine Learning, by Florian Karl and Lukas Malte Kemeter and Gabriel Dax and Paulina Sierak
Summary of Weight-based Decomposition: a Case For Bilinear Mlps, by Michael T. Pearce et al.
Summary of Hackatari: Atari Learning Environments For Robust and Continual Reinforcement Learning, by Quentin Delfosse et al.
Summary of Unveiling the Dynamics Of Information Interplay in Supervised Learning, by Kun Song et al.
Summary of Theoretical Guarantees For Variational Inference with Fixed-variance Mixture Of Gaussians, by Tom Huix et al.
Summary of Road Network Representation Learning with the Third Law Of Geography, by Haicang Zhou et al.
Summary of Stemo: Early Spatio-temporal Forecasting with Multi-objective Reinforcement Learning, by Wei Shao et al.
Summary of Shaping History: Advanced Machine Learning Techniques For the Analysis and Dating Of Cuneiform Tablets Over Three Millennia, by Danielle Kapon et al.
Summary of Linear Opinion Pooling For Uncertainty Quantification on Graphs, by Clemens Damke et al.
Summary of Energy-based Epistemic Uncertainty For Graph Neural Networks, by Dominik Fuchsgruber et al.
Summary of Slicing Mutual Information Generalization Bounds For Neural Networks, by Kimia Nadjahi et al.
Summary of Multivector Neurons: Better and Faster O(n)-equivariant Clifford Graph Neural Networks, by Cong Liu et al.
Summary of Leveraging Spd Matrices on Riemannian Manifolds in Quantum Classical Hybrid Models For Structural Health Monitoring, by Azadeh Alavi et al.
Summary of Bisimulation Metrics Are Optimal Transport Distances, and Can Be Computed Efficiently, by Sergio Calo et al.
Summary of Cross-variable Linear Integrated Enhanced Transformer For Photovoltaic Power Forecasting, by Jiaxin Gao et al.
Summary of Infusing Self-consistency Into Density Functional Theory Hamiltonian Prediction Via Deep Equilibrium Models, by Zun Wang et al.
Summary of How Does Inverse Rl Scale to Large State Spaces? a Provably Efficient Approach, by Filippo Lazzati et al.
Summary of Amortized Equation Discovery in Hybrid Dynamical Systems, by Yongtuo Liu et al.
Summary of Subspace Clustering in Wavelet Packets Domain, by Ivica Kopriva and Damir Sersic
Summary of Predictability Analysis Of Regression Problems Via Conditional Entropy Estimations, by Yu-hsueh Fang and Chia-yen Lee
Summary of Talos: a More Effective and Efficient Adversarial Defense For Gnn Models Based on the Global Homophily Of Graphs, by Duanyu Li et al.
Summary of Mujo: Multimodal Joint Feature Space Learning For Human Activity Recognition, by Stefan Gerd Fritsch et al.
Summary of Open Problem: Active Representation Learning, by Nikola Milosevic et al.
Summary of A Noise-robust Multi-head Attention Mechanism For Formation Resistivity Prediction: Frequency Aware Lstm, by Yongan Zhang et al.
Summary of Behavior-targeted Attack on Reinforcement Learning with Limited Access to Victim’s Policy, by Shojiro Yamabe et al.
Summary of Quantum Implicit Neural Representations, by Jiaming Zhao et al.
Summary of Pairnet: Training with Observed Pairs to Estimate Individual Treatment Effect, by Lokesh Nagalapatti et al.
Summary of Decay Pruning Method: Smooth Pruning with a Self-rectifying Procedure, by Minghao Yang et al.
Summary of Memorization in Deep Learning: a Survey, by Jiaheng Wei et al.
Summary of Biomedbench: a Benchmark Suite Of Tinyml Biomedical Applications For Low-power Wearables, by Dimitrios Samakovlis et al.
Summary of Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning, by Bahareh Tasdighi et al.
Summary of Transductive Off-policy Proximal Policy Optimization, by Yaozhong Gan et al.
Summary of Gensafe: a Generalizable Safety Enhancer For Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model, by Zhehua Zhou et al.
Summary of Neuro-symbolic Temporal Point Processes, by Yang Yang et al.
Summary of Excluding the Irrelevant: Focusing Reinforcement Learning Through Continuous Action Masking, by Roland Stolz et al.
Summary of What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions, by Liyi Zhang et al.
Summary of Twins: Revisiting Non-stationarity in Multivariate Time Series Forecasting, by Jiaxi Hu et al.
Summary of A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions, by Lei Liu et al.
Summary of Efficient Graph Encoder Embedding For Large Sparse Graphs in Python, by Xihan Qin and Cencheng Shen
Summary of Offline Multi-objective Optimization, by Ke Xue et al.
Summary of Enhancing Sign Language Detection Through Mediapipe and Convolutional Neural Networks (cnn), by Aditya Raj Verma et al.
Summary of Fastgas: Fast Graph-based Annotation Selection For In-context Learning, by Zihan Chen et al.
Summary of Quality-diversity with Limited Resources, by Ren-jian Wang et al.
Summary of Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions Of Clean Data, by Jingyang Ou et al.
Summary of Credit Card Fraud Detection Using Advanced Transformer Model, by Chang Yu et al.
Summary of Instance Segmentation and Teeth Classification in Panoramic X-rays, by Devichand Budagam et al.
Summary of Redistill: Residual Encoded Distillation For Peak Memory Reduction, by Fang Chen et al.
Summary of Adaptive Multi-scale Decomposition Framework For Time Series Forecasting, by Yifan Hu et al.
Summary of Deepracer on Physical Track: Parameters Exploration and Performance Evaluation, by Sinan Koparan et al.
Summary of Enhancing In-context Learning Performance with Just Svd-based Weight Pruning: a Theoretical Perspective, by Xinhao Yao et al.