1-88 of about 88 matches for site:arxiv.org improved
https://arxiv.org/abs/2405.14871
2405.14871] NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections Skip to main content We gratefully acknowledge support
https://arxiv.org/abs/2304.13915
2304.13915] Improved Stabilizer Estimation via Bell Difference Sampling Skip to main content We gratefully acknowledge support
https://arxiv.org/abs/2405.14867
2405.14867] Improved Distribution Matching Distillation for Fast Image Synthesis Skip to main content We
https://arxiv.org/abs/2310.03744
2310.03744] Improved Baselines with Visual Instruction Tuning Skip to main content We gratefully acknowledge support from
https://arxiv.org/abs/2309.06554
2309.06554] An improved protocol for ExactlyN with more than 3 players Skip to main content
https://arxiv.org/abs/2502.15989
of the sampling procedure. We show that it exhibits superior mode alignment as well as improved convergence in both
https://arxiv.org/abs/2504.08591
and 9 other authors View PDF Abstract: Recent progress in generative models has significantly improved image restoration capabilities, particularly
[2406.16008] Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utiliz
https://arxiv.org/abs/2406.16008
locating relevant information within a long context, but also eventually leads to improved retrieval-augmented generation (RAG
https://arxiv.org/abs/1812.01584
selective match kernel (R-ASMK) to effectively combine information from detected regions into an improved holistic image representation. R
https://arxiv.org/abs/2307.00162
S3Ms trained with visual grounding outperform their speech-only counterparts. Finally, our task-based analyses demonstrate improved performance on word segmentation
https://arxiv.org/abs/2307.09555
rendering of transient imagery from novel views. Additionally, we show that our approach recovers improved geometry and conventional
https://arxiv.org/abs/1707.04175
for improving data efficiency is multitask learning with shared neural network parameters, where efficiency may be improved through transfer across related
https://arxiv.org/abs/2303.12074
and real-world KITTI-360 datasets demonstrate that our model generates scenes of improved visual and geometric
https://arxiv.org/abs/2203.04541
of PUTN is divided into three steps. First, based on Rapidly-exploring Random Trees (RRT), an improved sample-based algorithm called
https://arxiv.org/abs/2205.01643
especially the result of Sim10k to Cityscapes scenario is remarkably improved from 52.6 mAP
https://arxiv.org/abs/2312.09148
as a submodel corresponding to a subtask. This leads to improved accuracy and uncertainty
[2305.08281] FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual
https://arxiv.org/abs/2305.08281
three out-of-domain scientific literature datasets. Further analysis of FactKB shows improved ability to detect
https://arxiv.org/abs/2310.04415
tradeoff in stochastic optimization leading to lower training loss and improved training stability. Overall, we
[2311.06694] Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding
https://arxiv.org/abs/2311.06694
candidates and multiple views of each object both contribute to improved accuracy. Code: this https
http://arxiv.org/abs/2305.02398
previous state-of-the-art object-level matching approaches and achieves improved performance over a
[2303.03374] To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learn
https://arxiv.org/abs/2303.03374
work, we show that ensembles trained from a single pre-trained checkpoint may be improved by better exploring the
https://arxiv.org/abs/2409.10917
concurrency and temporal grounding) to assess detailed video understanding capabilities. We showcase improved performance of AMEGO
https://arxiv.org/abs/2003.12649
increases the realism of the textures and shading with an improved CycleGAN network. Extensive evaluations
https://arxiv.org/abs/2304.08485
HTML (experimental) Abstract: Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on
[1705.01513] Detecting binary compact-object mergers with gravitational waves: Understanding and Imp
https://arxiv.org/abs/1705.01513
by Alexander H. Nitz and 4 other authors View PDF Abstract: We present an improved search for binary
https://arxiv.org/abs/2304.13534
models. In particular, we propose and demonstrate an HJB-regularized SGM with improved performance over standard SGMs
https://arxiv.org/abs/1903.07603
by Adam G. Riess and 4 other authors View PDF Abstract: We present an improved determination of the
https://arxiv.org/abs/2410.04642
to "rich" feature-learning dynamics, with a host of associated benefits including improved performance on common tasks
https://arxiv.org/a/harrow_a_1.html
Balasubramanian , Tongyang Li , Aram Harrow Comments: 69 pages, 7 figures, v2: minor fixes and improved discussion of Section
http://arxiv.org/abs/2104.08381
detector to explore invariant structures across instances under various motions, which leads to improved model robustness in
https://arxiv.org/abs/2402.09171
increased coverage. During Meta's Instagram and Facebook test-a-thons, it improved 11.5% of
http://arxiv.org/abs/0707.3413
of stellar temperatures, gravities, and metallicities. The results of improved photometric calibration are now
https://arxiv.org/abs/2204.02320
challenging problems in robotics. While recent progress in imitation learning has largely improved the sample
https://arxiv.org/abs/2504.05298
pre-trained 5B model. The efficiency of our implementation can also be improved. We have only experimented
[2403.20331] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Mode
https://arxiv.org/abs/2403.20331
have different bottlenecks and chain-of-thought and self-reflection improved performance for LMMs
http://arxiv.org/abs/1408.6858
of $Q_{q+1}(t)$. Comments: 26 pages, 6 tables and 1 figure. Results improved to non
[1408.1713] The Digital Public Library of America Ingestion Ecosystem: Lessons Learned After One Yea
http://arxiv.org/abs/1408.1713
and areas for collaboration and leadership across the partnership. Although improved infrastructure is needed to
https://arxiv.org/abs/2405.14806
5+2 figures, 2 tables. v2: extended acknowledgements, added link to github repo. v3: improved results, matches NeurIPS camera
https://arxiv.org/abs/2011.13456
same distribution as the SDE, but additionally enables exact likelihood computation, and improved sampling efficiency. In
http://arxiv.org/abs/1409.4842
ILSVRC 2014). The main hallmark of this architecture is the improved utilization of the
https://arxiv.org/abs/1811.12926
is a pragmatic way to measure and compare progress toward improved system-wide gate error
[2003.12699] Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits un
https://arxiv.org/abs/2003.12699
bandits, statistically and computationally. This leads to faster algorithms and improved regret guarantees for
http://arxiv.org/abs/0901.1342
of evolutionary theory. Comments: 36 pages, 1 figure. v2: typo fixes, minor formatting changes. v3: Improved notation, added references, new
https://arxiv.org/a/samperton_e_1.html
of groups Authors: Hyungryul Baik , Eric Samperton Comments: Minor errors corrected and exposition improved throughout. Provides a
https://arxiv.org/abs/2203.02056
the protein contact map prediction problem, showing that the symmetric structured networks produce improved results using fewer numbers
http://arxiv.org/abs/hep-th/9309102
the authors in hep-th/9309063 to show that the "improved" surgical invariant of
https://arxiv.org/abs/2108.12847
and demonstrating how a style transfer algorithm based on these definitions generates outputs with improved visual quality. Then I
https://arxiv.org/abs/2211.08985
PINN, the accuracy of SCPINN in predicting soliton dynamics is improved by 5-11 times
http://arxiv.org/abs/1602.05406
odd primes $p$. Comments: 11 pages, 1 table, 1 figure; corrected some parts and improved readablility Subjects: Algebraic Topology
https://arxiv.org/abs/1603.05027
a new residual unit, which makes training easier and improves generalization. We report improved results using a
https://arxiv.org/abs/2403.01018
open question of Piveteau and Sutter. As an application, we give an improved algorithm for clustered
http://arxiv.org/abs/astro-ph/0403325
radial velocities of certain types of stars, and has substantially improved spectrophotometry. All data included
http://arxiv.org/abs/1101.1559
of the Celestial Sphere. All the imaging data have been reprocessed with an improved sky-subtraction algorithm and
https://arxiv.org/abs/1908.03903
up to poly-logarithmic factors. Comments: 61 pages, 8 figures. v2: Quantum query complexity improved to $\tilde
https://arxiv.org/abs/1908.06306
obtaining the certainty estimates that correlate better with misclassified samples and b) improved attention maps that provide
https://arxiv.org/abs/2312.02222
designed to increase the fidelity from multiple frames, resulting in improved reconstruction quality proportional to
https://arxiv.org/abs/2410.10803
height-adjustable cart and a 3D LiDAR sensor, and 3) an improved 3D Diffusion Policy learning
http://arxiv.org/abs/2307.10105
combining our percolation bounds with the method of disagreement percolation we obtain improved bounds on the
https://arxiv.org/abs/1508.02661
our results from a dynamical perspective. Comments: Minor errors corrected and exposition improved throughout. Provides a
https://arxiv.org/abs/2303.13375
addition, GPT-4 is significantly better calibrated than GPT-3.5, demonstrating a much-improved ability to predict
https://arxiv.org/abs/2406.18158
on a suite of virtual robot manipulation tasks and demonstrate improved performance over baselines. Our
[2312.13980] Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL F
https://arxiv.org/abs/2312.13980
improve beyond their dataset limitations during SFT. To this end, we introduce Carve3D, an improved RLFT algorithm coupled with
https://arxiv.org/abs/2112.00861
colors fixed; v3 correct very non-standard TruthfulQA formatting and metric, alignment implications slightly improved Subjects: Computation and
[1607.03154] The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic S
http://arxiv.org/abs/1607.03154
The errors of $w_0$ and $w_a$ from 9-bin constraints are slightly improved when compared to
https://arxiv.org/abs/2210.08402
openly available dataset of this scale. Additionally we provide several nearest neighbor indices, an improved web-interface for
[1811.12231] ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accura
https://arxiv.org/abs/1811.12231
and comes with a number of unexpected emergent benefits such as improved object detection performance and
https://arxiv.org/abs/2206.15474
Autocast poses a novel challenge for large language models and improved performance could bring large
https://arxiv.org/abs/2111.02080
learning. Beyond the theory, experiments on GINC exhibit large-scale real-world phenomena including improved in-context
https://arxiv.org/abs/2302.04761
search engines, a translation system, and a calendar. Toolformer achieves substantially improved zero-shot performance across
[2010.03104] Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disag
https://arxiv.org/abs/2010.03104
PDF Abstract: In the classical multi-armed bandit problem, instance-dependent algorithms attain improved performance on "easy" problems
https://arxiv.org/abs/2107.04953
the exposure diversity intervention proposed as an antidote to "filter bubbles" can be improved and can
https://arxiv.org/abs/2310.04311
that the proposed method succeeds in integrating the side information, yielding improved performance at all channel
https://arxiv.org/abs/2307.03997
a new approach to error-tolerant barycentric spanner computation and an improved analysis of a
[1201.2137] Clustering of Sloan Digital Sky Survey III Photometric Luminous Galaxies: The Measuremen
http://arxiv.org/abs/1201.2137
open Lambda CDM model, when combined with WMAP7 + HST, we find $\Omega_K = 0.0035 +/- 0.0054, improved over WMAP7+HST alone
https://arxiv.org/abs/2402.05338
review current knowledge of giant planet internal structure and evolution, which has improved thanks to data
[2305.13371] Cataclysmic Variables from Sloan Digital Sky Survey V -- the search for period bouncers
https://arxiv.org/abs/2305.13371
53 and refute eleven published CV candidates, and we report 21 new or improved orbital periods. Combined with
https://arxiv.org/abs/2205.02128
under the condition $K<\sigma$ and asked if their bound can be improved. Subjects: Probability (math.PR
https://arxiv.org/abs/2211.14250
structural results showing when it can and cannot help more generally. Comments: V2 changes: Improved writing and added
https://arxiv.org/abs/1110.6412
synthesis flow. Experiments show that by using the suggested flow, quantum cost can be improved by more than 50
https://arxiv.org/abs/2111.06389
to detect, localize and recover from real-world damage, leading to improved machine resiliency. Our project
https://arxiv.org/abs/2304.13826
Experiments show that our model successfully disentangles action and perception, translating to improved zero-shot and
https://arxiv.org/abs/2303.13483
ReferIt3D view-dependence task, a 3D referring expression comprehension benchmark. Importantly, NS3D shows significantly improved performance on settings of
https://arxiv.org/abs/2109.09913
generative model to synthesize future motion. We demonstrate both qualitatively and quantitatively improved motion estimation, synthesis quality
https://arxiv.org/abs/2012.04848
negligible and inverse polynomial soundness errors respectively, and negligible completeness errors. Comments: improved presentation. main results remain
[2404.02280] Demonstration of logical qubits and repeated error correction with better-than-physical
https://arxiv.org/abs/2404.02280
figures; (v2) Fixed typos, added authors; (v3) Added Carbon details (instead of separate article), improved decoder, got more data
https://arxiv.org/html/2404.14219v1
worked on generating and curating various instruction and preference data. This has improved the model