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Showing 151–175 of 288 papers

TitleStatusHype
A New Dataset and a Distractor-Aware Architecture for Transparent Object Tracking—0
An Image Labeling Tool and Agricultural Dataset for Deep Learning—0
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification—0
Approximability of Monotone Submodular Function Maximization under Cardinality and Matroid Constraints in the Streaming Model—0
Approximate numerical solutions of fractional integral equations using Laguerre and Touchard polynomials—0
Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks—0
A strengthened bound on the number of states required to characterize maximum parsimony distance—0
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes—0
Beyond Bandit Feedback in Online Multiclass Classification—0
Beyond Pointwise Submodularity: Non-Monotone Adaptive Submodular Maximization subject to Knapsack and k-System Constraints—0
Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents—0
Block-Based Multi-Scale Image Rescaling—0
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks—0
Capturing Closely Interacted Two-Person Motions with Reaction Priors—0
Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities—0
Clause-Learning Algorithms with Many Restarts and Bounded-Width Resolution—0
ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution—0
Clustering with Non-adaptive Subset Queries—0
Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents—0
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval—0
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal—0
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm—0
Concurrent Shuffle Differential Privacy Under Continual Observation—0
Consistent recovery threshold of hidden nearest neighbor graphs—0
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment—0
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