Papers
Wed 20 Mar 2024
269 papers
- Diffusion-based Human Motion Style Transfer with Semantic GuidanceDiffusion models → Image generation, text-to-image and editing
- Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy DataDiffusion models → Diffusion foundations and sampling
- LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Testing the Limits of Jailbreaking Defenses with the Purple ProblemLLM safety and security → Jailbreaking
- Defending Against Indirect Prompt Injection Attacks With SpotlightingLLM safety and security → Prompt injection and agent security
- Multi-Modal Hallucination Control by Visual Information GroundingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- Visual Imitation Learning of Task-Oriented Object Grasping and RearrangementOffline RL and imitation learning from data → Robot manipulation imitation learning
- Enhancing Fingerprint Image Synthesis with GANs, Diffusion Models, and Style Transfer TechniquesDiffusion models → Robustness, privacy and adversarial aspects
- Augmented Reality Demonstrations for Scalable Robot Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
- DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic ModelDiffusion models → Flow matching, time series and science
- Editing Massive Concepts in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Learning from Synthetic Data for Visual GroundingSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- ZigMa: A DiT-style Zigzag Mamba Diffusion ModelDiffusion models → Medical imaging and segmentation +1
- Natural Language as Policies: Reasoning for Coordinate-Level Embodied Control with LLMsLLM reasoning → Spatial and embodied reasoning
- TimeRewind: Rewinding Time with Image-and-Events Video DiffusionDiffusion models → Video generation
- Bridge the Modality and Capability Gaps in Vision-Language Model SelectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DepthFM: Fast Monocular Depth Estimation with Flow MatchingDiffusion models → 3D, point cloud and scene generation
- RewardBench: Evaluating Reward Models for Language ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Towards Principled Representation Learning from Videos for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language ModelMultimodal LLMs / vision-language models → Medical vision-language models
- Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension StudyEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Threats, Attacks, and Defenses in Machine Unlearning: A SurveyLLM safety and security → Machine unlearning
- SocialBench: Sociality Evaluation of Role-Playing Conversational AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized IntersectionsEnd-to-end autonomous driving → Reinforcement learning for driving +1
- ProMamba: Prompt-Mamba for polyp segmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image TransferDiffusion models → Medical imaging and segmentation
- H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- VL-Mamba: Exploring State Space Models for Multimodal LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Teacher-Student Training for Debiasing: General Permutation Debiasing for Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection GenerationDeep reinforcement learning methods → RL training of language and agent models
- VCounselor: A Psychological Intervention Chat Agent Based on a Knowledge-Enhanced Large Language ModelLLM agents and tool use → Medical and scientific domain agents
- Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute EditingDiffusion models → Image generation, text-to-image and editing
- IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
- Compress3D: a Compressed Latent Space for 3D Generation from a Single ImageDiffusion models → 3D, point cloud and scene generation
- Have You Poisoned My Data? Defending Neural Networks against Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
- What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Scale Decoupled DistillationKnowledge distillation → General knowledge distillation methods
- VSTAR: Generative Temporal Nursing for Longer Dynamic Video SynthesisDiffusion models → Video generation
- An Entropy-based Text Watermarking Detection MethodLLM safety and security → Watermarking generated content and models
- Scaling Diffusion Models to Real-World 3D LiDAR Scene CompletionWorld models → World modeling from LiDAR generation +1
- DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-ExpertsMixture-of-experts → MoE large language models
- HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent BehaviorWorld models → World models for language agents
- S2DM: Sector-Shaped Diffusion Models for Video GenerationDiffusion models → Video generation
- IIDM: Image-to-Image Diffusion Model for Semantic Image SynthesisDiffusion models → Diffusion foundations and sampling
- GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped RobotMixture-of-experts → MoE in reinforcement learning and robotics
- BadEdit: Backdooring large language models by model editingLLM safety and security → Backdoor and data poisoning attacks
- AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing +1
- TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual PatternsLLM reasoning → Multimodal reasoning +1
- LeanReasoner: Boosting Complex Logical Reasoning with LeanLLM reasoning → Mathematical reasoning
- Waypoint-Based Reinforcement Learning for Robot Manipulation TasksDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMsLLM reasoning → Reasoning for agents, planning and code
- SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Mora: Enabling Generalist Video Generation via A Multi-Agent FrameworkLLM agents and tool use → Multimodal and embodied agents
- Federated reinforcement learning for robot motion planning with zero-shot generalizationDeep reinforcement learning methods → RL for energy, networks and operations
- Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language ModelKnowledge distillation → Graph neural network distillation
- Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution NetworkDeep reinforcement learning methods → RL for energy, networks and operations
- A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich ManipulationDiffusion models → Diffusion and flow policies for robotics
- Diffusion Model for Data-Driven Black-Box OptimizationDiffusion models → Diffusion foundations and sampling
- How scanning probe microscopy can be supported by Artificial Intelligence and quantum computing
- Multimodal Chaptering for Long-Form TV Newscast Video
- CalliRewrite: Recovering Handwriting Behaviors from Calligraphy Images without Supervision
- Mask-based Invisible Backdoor Attacks on Object Detection
- BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis
- Inserting Faces inside Captions: Image Captioning with Attention Guided Merging
- EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
- Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs
- Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector
- Integrating Supervised Extractive and Generative Language Models for Suicide Risk Evidence Summarization
- Learning to Infer Generative Template Programs for Visual Concepts
- EC-IoU: Orienting Safety for Object Detectors via Ego-Centric Intersection-over-Union
- Efficient argument classification with compact language models and ChatGPT-4 refinements
- Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course
- Vi-Mistral-X: Building a Vietnamese Language Model with Advanced Continual Pre-training
- Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks
- Using Super-Resolution Imaging for Recognition of Low-Resolution Blurred License Plates: A Comparative Study of Real-ESRGAN, A-ESRGAN, and StarSRGAN
- Six Levels of Privacy: A Framework for Financial Synthetic Data
- Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection
- EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration
- Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
- Towards a connection between the capacitated vehicle routing problem and the constrained centroid-based clustering
- A New Massive Multilingual Dataset for High-Performance Language Technologies
- On Prompt Sensitivity of ChatGPT in Affective Computing
- Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection
- Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings
- P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI
- UP-FacE: User-predictable Fine-grained Face Shape Editing
- "This is not a data problem": Algorithms and Power in Public Higher Education in Canada
- ConGeo: Robust Cross-view Geo-localization across Ground View Variations
- Open Access NAO (OAN): a ROS2-based software framework for HRI applications with the NAO robot
- Considerations in the use of ML interaction potentials for free energy calculations
- ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On
- Evo* 2023 -- Late-Breaking Abstracts Volume
- BlendScape: Enabling End-User Customization of Video-Conferencing Environments through Generative AI
- A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers
- Reducing Large Language Model Bias with Emphasis on 'Restricted Industries': Automated Dataset Augmentation and Prejudice Quantification
- Visually Grounded Speech Models have a Mutual Exclusivity Bias
All 269
- Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract)
- Leveraging Linguistically Enhanced Embeddings for Open Information Extraction
- Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases
- CoMo: Controllable Motion Generation through Language Guided Pose Code Editing
- DAVED: Data Acquisition via Experimental Design for Data Markets
- Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
- ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
- Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
- Analysing heavy-tail properties of Stochastic Gradient Descent by means of Stochastic Recurrence Equations
- Capsule Neural Networks as Noise Stabilizer for Time Series Data
- The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training
- Graph Neural Network for Crawling Target Nodes in Social Networks
- Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets
- Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data
- On Pretraining Data Diversity for Self-Supervised Learning
- RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS
- RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition
- Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
- Reverse Training to Nurse the Reversal Curse
- Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
- Evaluating Frontier Models for Dangerous Capabilities
- Chain-of-Interaction: Enhancing Large Language Models for Psychiatric Behavior Understanding by Dyadic Contexts
- Towards an extension of Fault Trees in the Predictive Maintenance Scenario
- The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
- Sparse Implementation of Versatile Graph-Informed Layers
- Information-Theoretic Distillation for Reference-less Summarization
- Certified Human Trajectory Prediction
- Interpreting Neurons in Deep Vision Networks with Language Models
- Practical End-to-End Optical Music Recognition for Pianoform Music
- When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather
- HierCode: A Lightweight Hierarchical Codebook for Zero-shot Chinese Text Recognition
- Different Tokenization Schemes Lead to Comparable Performance in Spanish Number Agreement
- Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
- Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
- Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval
- Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
- Hyper Strategy Logic
- Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
- EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation
- M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling
- Probabilistic Forecasting with Stochastic Interpolants and F"ollmer Processes
- Large Language Models meet Network Slicing Management and Orchestration
- DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and Mapping
- Research Re: search & Re-search
- Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach
- Fostc3net:A Lightweight YOLOv5 Based On the Network Structure Optimization
- What Matters for Active Texture Recognition With Vision-Based Tactile Sensors
- Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection
- Loss Regularizing Robotic Terrain Classification
- MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs
- SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
- DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects
- Ayn: A Tiny yet Competitive Indian Legal Language Model Pretrained from Scratch
- Step-Calibrated Diffusion for Biomedical Optical Image Restoration
- AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts
- Retina Vision Transformer (RetinaViT): Introducing Scaled Patches into Vision Transformers
- Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations
- DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance
- Grounding Spatial Relations in Text-Only Language Models
- T-Pixel2Mesh: Combining Global and Local Transformer for 3D Mesh Generation from a Single Image
- Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognition
- Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
- Learning User Embeddings from Human Gaze for Personalised Saliency Prediction
- Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
- Pretraining Language Models Using Translationese
- A Straightforward Gradient-Based Approach for High-Tc Superconductor Design: Leveraging Domain Knowledge via Adaptive Constraints
- Enhancing Law Enforcement Training: A Gamified Approach to Detecting Terrorism Financing
- Dynamic Resource Allocation for Virtual Machine Migration Optimization using Machine Learning
- Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?
- LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data
- Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMs
- ReGround: Improving Textual and Spatial Grounding at No Cost
- Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models
- CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
- Leveraging feature communication in federated learning for remote sensing image classification
- Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
- Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer
- AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
- DL2Fence: Integrating Deep Learning and Frame Fusion for Enhanced Detection and Localization of Refined Denial-of-Service in Large-Scale NoCs
- eRST: A Signaled Graph Theory of Discourse Relations and Organization
- Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments
- Diversity-aware Channel Pruning for StyleGAN Compression
- Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification
- Next day fire prediction via semantic segmentation
- What explains the success of cross-modal fine-tuning with ORCA?
- REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
- Motion Generation from Fine-grained Textual Descriptions
- How Gender Interacts with Political Values: A Case Study on Czech BERT Models
- High-confidence pseudo-labels for domain adaptation in COVID-19 detection
- FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs
- Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process
- Improved Baselines for Data-efficient Perceptual Augmentation of LLMs
- A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels
- Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection
- Progressive trajectory matching for medical dataset distillation
- CLIPSwarm: Generating Drone Shows from Text Prompts with Vision-Language Models
- An AI-Assisted Skincare Routine Recommendation System in XR
- Uncertainty quantification for data-driven weather models
- MedCycle: Unpaired Medical Report Generation via Cycle-Consistency
- Fast-Poly: A Fast Polyhedral Framework For 3D Multi-Object Tracking
- Robustness Verifcation in Neural Networks
- Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling
- Advancing 6D Pose Estimation in Augmented Reality -- Overcoming Projection Ambiguity with Uncontrolled Imagery
- MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
- Detecting and Triaging Spoofing using Temporal Convolutional Networks
- Caching-Augmented Lifelong Multi-Agent Path Finding
- Diversified and Personalized Multi-rater Medical Image Segmentation
- Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection
- DOR3D-Net: Dense Ordinal Regression Network for 3D Hand Pose Estimation
- Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments
- Robust image segmentation model based on binary level set
- Correlation Clustering of Organoid Images
- Few-shot Oriented Object Detection with Memorable Contrastive Learning in Remote Sensing Images
- Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
- Counting Network for Learning from Majority Label
- Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
- Computational Models to Study Language Processing in the Human Brain: A Survey
- ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics
- Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts
- OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning
- Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
- vid-TLDR: Training Free Token merging for Light-weight Video Transformer
- USE: Dynamic User Modeling with Stateful Sequence Models
- FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
- Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network
- Learning Novel View Synthesis from Heterogeneous Low-light Captures
- Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
- Hyacinth6B: A large language model for Traditional Chinese
- AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
- Efficient scene text image super-resolution with semantic guidance
- Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion
- Out-of-Distribution Detection Using Peer-Class Generated by Large Language Model
- DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation
- HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling
- Polaris: A Safety-focused LLM Constellation Architecture for Healthcare
- Multi-Robot Connected Fermat Spiral Coverage
- A Semantic Search Engine for Mathlib4
- Mapping LLM Security Landscapes: A Comprehensive Stakeholder Risk Assessment Proposal
- LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment
- DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
- Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference
- Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression
- Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning
- Rotary Position Embedding for Vision Transformer
- Building Optimal Neural Architectures using Interpretable Knowledge
- Text-to-3D Shape Generation
- A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
- AdaViPro: Region-based Adaptive Visual Prompt for Large-Scale Models Adapting
- Community Needs and Assets: A Computational Analysis of Community Conversations
- AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
- Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
- Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
- SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts
- Arcee's MergeKit: A Toolkit for Merging Large Language Models
- Document Author Classification Using Parsed Language Structure
- Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models
- A Unified and General Framework for Continual Learning
- FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
- Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data
- A Comparative Study of Machine Learning Models Predicting Energetics of Interacting Defects
- Tackling Noisy Labels with Network Parameter Additive Decomposition
- SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization
- Learning Coherent Matrixized Representation in Latent Space for Volumetric 4D Generation
- Technical Report: Competition Solution For BetterMixture
- Self-Attention Based Semantic Decomposition in Vector Symbolic Architectures
- Leveraging advances in machine learning for the robust classification and interpretation of networks
- Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
- From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards