Paper List

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Summary of Model Editing For Distribution Shifts in Uranium Oxide Morphological Analysis, by Davis Brown et al.
Summary of Longvideobench: a Benchmark For Long-context Interleaved Video-language Understanding, by Haoning Wu et al.
Summary of Conditional Language Policy: a General Framework For Steerable Multi-objective Finetuning, by Kaiwen Wang et al.
Summary of Weak-to-strong Compositional Learning From Generative Models For Language-based Object Detection, by Kwanyong Park et al.
Summary of U-learning For Prediction Inference Via Combinatory Multi-subsampling: with Applications to Lasso and Neural Networks, by Zhe Fei et al.
Summary of Fever Detection with Infrared Thermography: Enhancing Accuracy Through Machine Learning Techniques, by Parsa Razmara et al.
Summary of Poisoning with a Pill: Circumventing Detection in Federated Learning, by Hanxi Guo et al.
Summary of Llmexplainer: Large Language Model Based Bayesian Inference For Graph Explanation Generation, by Jiaxing Zhang et al.
Summary of Tackling Selfish Clients in Federated Learning, by Andrea Augello et al.
Summary of Weights Shuffling For Improving Dpsgd in Transformer-based Models, by Jungang Yang and Zhe Ji and Liyao Xiang
Summary of Planning in a Recurrent Neural Network That Plays Sokoban, by Mohammad Taufeeque et al.
Summary of Resource-efficient Federated Multimodal Learning Via Layer-wise and Progressive Training, by Ye Lin Tun et al.
Summary of Merit-based Fair Combinatorial Semi-bandit with Unrestricted Feedback Delays, by Ziqun Chen et al.
Summary of Graphscale: a Framework to Enable Machine Learning Over Billion-node Graphs, by Vipul Gupta et al.
Summary of Score Matching For Bridges Without Learning Time-reversals, by Elizabeth L. Baker et al.
Summary of Regression Under Demographic Parity Constraints Via Unlabeled Post-processing, by Evgenii Chzhen (lmo et al.
Summary of The Diversity Bonus: Learning From Dissimilar Distributed Clients in Personalized Federated Learning, by Xinghao Wu et al.
Summary of Modrl-ta:a Multi-objective Deep Reinforcement Learning Framework For Traffic Allocation in E-commerce Search, by Peng Cheng et al.
Summary of Fundamental Limits Of Prompt Compression: a Rate-distortion Framework For Black-box Language Models, by Alliot Nagle et al.
Summary of Increasing the Robustness Of Model Predictions to Missing Sensors in Earth Observation, by Francisco Mena et al.
Summary of Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks, by Eugenio Lomurno and Matteo Matteucci
Summary of Attention Is All You Need but You Don’t Need All Of It For Inference Of Large Language Models, by Georgy Tyukin et al.
Summary of Interpretable Concept-based Memory Reasoning, by David Debot et al.
Summary of Practical Multi-fidelity Machine Learning: Fusion Of Deterministic and Bayesian Models, by Jiaxiang Yi et al.
Summary of Text-augmented Multimodal Llms For Chemical Reaction Condition Recommendation, by Yu Zhang et al.
Summary of Proximal Policy Distillation, by Giacomo Spigler
Summary of When Can Transformers Count to N?, by Gilad Yehudai et al.
Summary of Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space, by Sanyam Vyas et al.
Summary of Adversarial Circuit Evaluation, by Niels Uit De Bos et al.
Summary of Tada: Temporal Adversarial Data Augmentation For Time Series Data, by Byeong Tak Lee et al.
Summary of Error Detection and Constraint Recovery in Hierarchical Multi-label Classification Without Prior Knowledge, by Joshua Shay Kricheli et al.
Summary of Hyperboliclr: Epoch Insensitive Learning Rate Scheduler, by Tae-geun Kim
Summary of Failures to Find Transferable Image Jailbreaks Between Vision-language Models, by Rylan Schaeffer et al.
Summary of Puffle: Balancing Privacy, Utility, and Fairness in Federated Learning, by Luca Corbucci et al.
Summary of Efficient Visual Transformer by Learnable Token Merging, By Yancheng Wang et al.
Summary of Tagcos: Task-agnostic Gradient Clustered Coreset Selection For Instruction Tuning Data, by Jipeng Zhang et al.
Summary of Variational Potential Flow: a Novel Probabilistic Framework For Energy-based Generative Modelling, by Junn Yong Loo et al.
Summary of Deep State Space Recurrent Neural Networks For Time Series Forecasting, by Hugo Inzirillo
Summary of Unifying Invariant and Variant Features For Graph Out-of-distribution Via Probability Of Necessity and Sufficiency, by Xuexin Chen et al.
Summary of Temporal Abstraction in Reinforcement Learning with Offline Data, by Ranga Shaarad Ayyagari et al.
Summary of Timeinf: Time Series Data Contribution Via Influence Functions, by Yizi Zhang et al.
Summary of Revisiting Neighborhood Aggregation in Graph Neural Networks For Node Classification Using Statistical Signal Processing, by Mounir Ghogho
Summary of Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms, by Sheila Schoepp et al.
Summary of Improving Context-aware Preference Modeling For Language Models, by Silviu Pitis et al.
Summary of Pogema: a Benchmark Platform For Cooperative Multi-agent Pathfinding, by Alexey Skrynnik et al.
Summary of Conversational Rubert For Detecting Competitive Interruptions in Asr-transcribed Dialogues, by Dmitrii Galimzianov et al.
Summary of Consent in Crisis: the Rapid Decline Of the Ai Data Commons, by Shayne Longpre et al.
Summary of Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces, by Athina Sotiropoulou et al.
Summary of Addressing Data Heterogeneity in Federated Learning Of Cox Proportional Hazards Models, by Navid Seidi et al.
Summary of Recent Advances in Generative Ai and Large Language Models: Current Status, Challenges, and Perspectives, by Desta Haileselassie Hagos et al.
Summary of Base and Exponent Prediction in Mathematical Expressions Using Multi-output Cnn, by Md Laraib Salam et al.
Summary of Technical Report: Improving the Properties Of Molecules Generated by Limo, By Vineet Thumuluri et al.
Summary of Sim-clip: Unsupervised Siamese Adversarial Fine-tuning For Robust and Semantically-rich Vision-language Models, by Md Zarif Hossain et al.
Summary of Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models, by Vinod Kumar Maddineni et al.
Summary of Out Of Spuriousity: Improving Robustness to Spurious Correlations Without Group Annotations, by Phuong Quynh Le et al.
Summary of Generalization V.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data, by Xinyi Wang et al.
Summary of All Against Some: Efficient Integration Of Large Language Models For Message Passing in Graph Neural Networks, by Ajay Jaiswal et al.
Summary of Knowledge Mechanisms in Large Language Models: a Survey and Perspective, by Mengru Wang et al.
Summary of Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning, by Dylan J. Foster and Adam Block and Dipendra Misra
Summary of Asyco: An Asymmetric Dual-task Co-training Model For Partial-label Learning, by Beibei Li et al.
Summary of Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts, by Yi Liu et al.
Summary of Learning to Compile Programs to Neural Networks, by Logan Weber et al.
Summary of Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning, by Yuxuan Jiang et al.
Summary of Meta-gps++: Enhancing Graph Meta-learning with Contrastive Learning and Self-training, by Yonghao Liu et al.
Summary of Ecrtime: Ensemble Integration Of Classification and Retrieval For Time Series Classification, by Fan Zhao et al.
Summary of Hard Prompts Made Interpretable: Sparse Entropy Regularization For Prompt Tuning with Rl, by Yunseon Choi et al.
Summary of Early Detection Of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-resolution Images, by Angelly Cabrera et al.
Summary of Flatness-aware Sequential Learning Generates Resilient Backdoors, by Hoang Pham et al.
Summary of Data Augmentation in Graph Neural Networks: the Role Of Generated Synthetic Graphs, by Sumeyye Bas et al.
Summary of Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation For Gnn-to-mlp Knowledge Distillation, by Lirong Wu et al.
Summary of On the Design and Analysis Of Llm-based Algorithms, by Yanxi Chen et al.
Summary of Implementing Fairness: the View From a Fairdream, by Thomas Souverain et al.
Summary of Fmamba: Mamba Based on Fast-attention For Multivariate Time-series Forecasting, by Shusen Ma et al.
Summary of Crossdehaze: Scaling Up Image Dehazing with Cross-data Vision Alignment and Augmentation, by Yukai Shi et al.
Summary of Understanding the Relationship Between Prompts and Response Uncertainty in Large Language Models, by Ze Yu Zhang et al.
Summary of Toward Efficient Convolutional Neural Networks with Structured Ternary Patterns, by Christos Kyrkou
Summary of Integrated Bim and Machine Learning System For Circularity Prediction Of Construction Demolition Waste, by Abdullahi Saka et al.
Summary of Enhancing High-energy Particle Physics Collision Analysis Through Graph Data Attribution Techniques, by A. Verdone et al.
Summary of An Explainable Fast Deep Neural Network For Emotion Recognition, by Francesco Di Luzio et al.
Summary of Thompson Sampling Itself Is Differentially Private, by Tingting Ou et al.
Summary of Reduced Effectiveness Of Kolmogorov-arnold Networks on Functions with Noise, by Haoran Shen and Chen Zeng and Jiahui Wang and Qiao Wang
Summary of Latent Pollution Model: the Hidden Carbon Footprint in 3d Image Synthesis, by Marvin Seyfarth et al.
Summary of Hyperspectral Unmixing Under Endmember Variability: a Variational Inference Framework, by Yuening Li et al.
Summary of Indoor Air Quality Dataset with Activities Of Daily Living in Low to Middle-income Communities, by Prasenjit Karmakar et al.
Summary of Catastrophic Goodhart: Regularizing Rlhf with Kl Divergence Does Not Mitigate Heavy-tailed Reward Misspecification, by Thomas Kwa et al.
Summary of A Foundation Model For Soccer, by Ethan Baron and Daniel Hocevar and Zach Salehe
Summary of Automated and Holistic Co-design Of Neural Networks and Asics For Enabling In-pixel Intelligence, by Shubha R. Kharel et al.
Summary of Nnsight and Ndif: Democratizing Access to Open-weight Foundation Model Internals, by Jaden Fiotto-kaufman et al.
Summary of Trading Devil Final: Backdoor Attack Via Stock Market and Bayesian Optimization, by Orson Mengara
Summary of Bond: Aligning Llms with Best-of-n Distillation, by Pier Giuseppe Sessa et al.
Summary of Advancing Melanoma Diagnosis with Self-supervised Neural Networks: Evaluating the Effectiveness Of Different Techniques, by Srivishnu Vusirikala et al.
Summary of Two New Feature Selection Methods Based on Learn-heuristic Techniques For Breast Cancer Prediction: a Comprehensive Analysis, by Kamyab Karimi et al.
Summary of Oasis: Conditional Distribution Shaping For Offline Safe Reinforcement Learning, by Yihang Yao et al.
Summary of Relational Composition in Neural Networks: a Survey and Call to Action, by Martin Wattenberg et al.
Summary of Compact Language Models Via Pruning and Knowledge Distillation, by Saurav Muralidharan et al.
Summary of Data Poisoning: An Overlooked Threat to Power Grid Resilience, by Nora Agah et al.
Summary of Value Internalization: Learning and Generalizing From Social Reward, by Frieda Rong and Max Kleiman-weiner
Summary of Universally Harmonizing Differential Privacy Mechanisms For Federated Learning: Boosting Accuracy and Convergence, by Shuya Feng et al.
Summary of Unveiling the Decision-making Process in Reinforcement Learning with Genetic Programming, by Manuel Eberhardinger et al.
Summary of Differential Privacy Of Cross-attention with Provable Guarantee, by Yingyu Liang et al.