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Machine Learning

132,800 papers (10 classified directly here)

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Papers (including subtopics)

Can’t See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs ACL 2025 Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices CVPR 2025 Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL 2025 Can Uniform Meaning Representation Help GPT-4 Translate from Indigenous Languages? ACL 2025 Can Vision-Language Models Evaluate Handwritten Math? ACL 2025 Can Vision-Language Models Solve Visual Math Equations? EMNLP 2025 Can Vision Language Models Understand Mimed Actions? ACL 2025 Can VLMs Recall Factual Associations From Visual References? EMNLP 2025 Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI 2025 Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions ICCV 2025 Can We Afford The Perfect Prompt? Balancing Cost and Accuracy with the Economical Prompting Index COLING 2025 Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies RSS 2025 Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer AAAI 2025 Can We Ignore Labels in Out of Distribution Detection? ICLR 2025 Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025 Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method ACL 2025 Can We Translate Code Better with LLMs and Call Graph Analysis? IJCAI 2025 Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling Interspeech 2025 Can You Really Trust That Review? ProtoFewRoBERTa and DetectAIRev: A Prototypical Few-Shot Method and Multi-Domain Benchmark for Detecting AI-Generated Reviews IJCNLP 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation ICCV 2025 Cap2Aug: Caption Guided Image Data Augmentation WACV 2025 Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025 Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data ACL 2025 CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025 CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era ACL 2025