Papers
Sun 28 Apr 2024
106 papers
- Learnable Linguistic Watermarks for Tracing Model Extraction Attacks on Large Language ModelsLLM safety and security → Watermarking generated content and models
- Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set RecognitionKnowledge distillation → General knowledge distillation methods
- SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning PoliciesDeep reinforcement learning methods → Interpretable and logic-guided RL
- BlockLLM: Multi-tenant Finer-grained Serving for Large Language ModelsEfficient LLM inference and serving → Serving systems and request scheduling
- Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust MechanismsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Improving Training-free Conditional Diffusion Model via Fisher InformationDiffusion models → Diffusion foundations and sampling
- LEGENT: Open Platform for Embodied AgentsWorld models → World models for navigation +2
- SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningLLM safety and security → Machine unlearning
- From Persona to Personalization: A Survey on Role-Playing Language AgentsLLM agents and tool use → Social simulation and multi-agent debate
- BUFF: Boosted Decision Tree based Ultra-Fast Flow matchingDiffusion models → Flow matching, time series and science
- S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- Paint by Inpaint: Learning to Add Image Objects by Removing Them FirstDiffusion models → 3D, point cloud and scene generation
- Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- WorldGPT: Empowering LLM as Multimodal World ModelWorld models → World models for language agents
- Mamba-FETrack: Frame-Event Tracking via State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Masked Attention as a Mechanism for Improving Interpretability of Vision TransformersMechanistic interpretability → Interpreting biomedical and science models
- Logic Agent: Enhancing Validity with Logic Rule InvocationLLM reasoning → Reasoning for agents, planning and code +1
- ComposerX: Multi-Agent Symbolic Music Composition with LLMsLLM agents and tool use → Multimodal and embodied agents
- MMAC-Copilot: Multi-modal Agent Collaboration Operating CopilotLLM agents and tool use → GUI and mobile agents
- Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Efficient LLM Inference with KcacheEfficient LLM inference and serving → KV cache optimization
- Exposing Text-Image Inconsistency Using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data
- Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps
- CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval
- Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
- Improve Academic Query Resolution through BERT-based Question Extraction from Images
- Transfer Learning and Transformer Architecture for Financial Sentiment Analysis
- Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications
- Lightweight Conceptual Dictionary Learning for Text Classification Using Information Compression
- Research and application of artificial intelligence based webshell detection model: A literature review
- GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes
- Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study
- MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition
- Position: Do Not Explain Vision Models Without Context
- DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders
- Towards Incremental Learning in Large Language Models: A Critical Review
- Retrieval-Oriented Knowledge for Click-Through Rate Prediction
- Panoptic Segmentation and Labelling of Lumbar Spine Vertebrae using Modified Attention Unet
- Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networks
- Comparing LLM prompting with Cross-lingual transfer performance on Indigenous and Low-resource Brazilian Languages
- S3-SLAM: Sparse Tri-plane Encoding for Neural Implicit SLAM
- Out-of-distribution Detection in Medical Image Analysis: A survey
- Bias Neutralization Framework: Measuring Fairness in Large Language Models with Bias Intelligence Quotient (BiQ)
- Kernel Corrector LSTM
- Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
- Pragmatic Formal Verification of Sequential Error Detection and Correction Codes (ECCs) used in Safety-Critical Design
- LINOCS: Lookahead Inference of Networked Operators for Continuous Stability
- Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin
- Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning
- Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition
- Mapping 'when'-clauses in Latin American and Caribbean languages: an experiment in subtoken-based typology
- PatentGPT: A Large Language Model for Intellectual Property
- Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment
- Machine Learning for Blockchain Data Analysis: Progress and Opportunities
- Classical integrability in the presence of a cosmological constant: analytic and machine learning results
- AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration
- FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
- Flood Data Analysis on SpaceNet 8 Using Apache Sedona
- A Note on Asynchronous Challenges: Unveiling Formulaic Bias and Data Loss in the Hayashi-Yoshida Estimator
- TextGram: Towards a better domain-adaptive pretraining
- L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi
- Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement
- A survey of dynamic graph neural networks
- 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
- LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM
- Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
- Permutation-equivariant quantum convolutional neural networks
- A General Causal Inference Framework for Cross-Sectional Observational Data
- Exploring the Robustness of In-Context Learning with Noisy Labels
- Naive Bayes Classifiers and One-hot Encoding of Categorical Variables
- Ranked List Truncation for Large Language Model-based Re-Ranking
- Innovative Application of Artificial Intelligence Technology in Bank Credit Risk Management
- EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian Twitter
- Assessing Image Quality Using a Simple Generative Representation
- IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning
- Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models
- Event-based Video Frame Interpolation with Edge Guided Motion Refinement
- ShapeMoir'e: Channel-Wise Shape-Guided Network for Image Demoir'eing
- Explaining vague language
- RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
- Compressed Deepfake Video Detection Based on 3D Spatiotemporal Trajectories
- Generative AI for Visualization: State of the Art and Future Directions
- Tracking Transforming Objects: A Benchmark
- SafePaint: Anti-forensic Image Inpainting with Domain Adaptation
- Learning Fairer Representations with FairVIC
- Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching
- Garbage Segmentation and Attribute Analysis by Robotic Dogs
- Finding Beautiful and Happy Images for Mental Health and Well-being Applications
- Semi-supervised Text-based Person Search
- Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach
- Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation
- USAT: A Universal Speaker-Adaptive Text-to-Speech Approach
- CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
- Online,Target-Free LiDAR-Camera Extrinsic Calibration via Cross-Modal Mask Matching
- Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models
- Contextual Spelling Correction with Language Model for Low-resource Setting
- Can Perplexity Predict Fine-tuning Performance? An Investigation of Tokenization Effects on Sequential Language Models for Nepali
- Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm
- Machine Learning Techniques for Data Reduction of CFD Applications
All 106
- Compressed Image Captioning using CNN-based Encoder-Decoder Framework
- Prompt Customization for Continual Learning
- Joint Reference Frame Synthesis and Post Filter Enhancement for Versatile Video Coding
- Utilizing Large Language Models for Information Extraction from Real Estate Transactions
- Variational Optimization for Quantum Problems using Deep Generative Networks
- Fashion Recommendation: Outfit Compatibility using GNN