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clever    音標拼音: [kl'ɛvɚ]
a. 聰明,伶俐;機敏的,精巧的

聰明,伶俐;機敏的,精巧的

clever
adj 1: showing self-interest and shrewdness in dealing with
others; "a cagey lawyer"; "too clever to be sound" [synonym:
{cagey}, {cagy}, {canny}, {clever}]
2: mentally quick and resourceful; "an apt pupil"; "you are a
clever man...you reason well and your wit is bold"-Bram
Stoker [synonym: {apt}, {clever}]
3: showing inventiveness and skill; "a clever gadget"; "the
cunning maneuvers leading to his success"; "an ingenious
solution to the problem" [synonym: {clever}, {cunning},
{ingenious}]

Clever \Clev"er\, a. [Origin uncertain. Cf. OE. cliver eager,
AS. clyfer (in comp.) cloven; or clifer a claw, perh.
connected with E. cleave to divide, split, the meaning of E.
clever perh. coming from the idea of grasping, seizing (with
the mind).]
1. Possessing quickness of intellect, skill, dexterity,
talent, or adroitness; expert.
[1913 Webster]

Though there were many clever men in England during
the latter half of the seventeenth century, there
were only two great creative minds. --Macaulay.
[1913 Webster]

Be good, sweet maid, and let who will be clever.
--C. Kingsley.
[1913 Webster]

2. Showing skill or adroitness in the doer or former; as, a
clever speech; a clever trick. --Byron.
[1913 Webster]

3. Having fitness, propriety, or suitableness.
[1913 Webster]

'T would sound more clever
To me and to my heirs forever. --Swift.
[1913 Webster]

4. Well-shaped; handsome. "The girl was a tight, clever wench
as any was." --Arbuthnot.
[1913 Webster]

5. Good-natured; obliging. [U. S.]

Syn: See {Smart}.
[1913 Webster]

194 Moby Thesaurus words for "clever":
Attic, Daedalian, Machiavellian, Machiavellic, able, acute, adept,
adroit, agile, alert, all-around, amusing, apt, arch, artful,
artistic, astute, authoritative, biting, brainy, bravura, bright,
brilliant, cagey, canny, capable, clean, competent, coordinated,
coruscating, crack, crackerjack, crafty, creative, cunning, cute,
daedal, dazzling, deceitful, deep, deep-laid, deft, designing,
dexterous, dextrous, diplomatic, discerning, docile, droll,
educable, entertaining, excellent, expert, facetious, facile,
fanciful, fancy, feline, formable, foxy, funny, gifted, good,
goodish, graceful, guileful, handy, humorous, humorsome,
imaginative, impressionable, ingenious, insidious, instructable,
intelligent, inventive, jesting, jocose, jocular, joking, joky,
joshing, keen, keen-witted, knowing, laughable, magisterial,
malleable, many-sided, masterful, masterly, moldable, mordant,
motivated, neat, neat-handed, nimble, nimble-witted, no dumbbell,
no mean, not born yesterday, original, pawky, perceptive, piquant,
plastic, pleasing, pliable, pointed, politic, pretty, professional,
proficient, prompt, pungent, qualified, quick, quick-thinking,
quick-witted, quite some, racy, rapier-like, ready, receptive,
resourceful, ripe for instruction, risible, sagacious, sage, salt,
salty, scheming, schoolable, scintillating, serpentine, sharp,
sharp-witted, shifty, shrewd, skilled, skillful, slick, slim,
slippery, sly, smart, smooth, snaky, sneaky, some, sophistical,
sparkling, sprightly, statesmanlike, stealthy, steel-trap,
strategic, stylish, subtile, subtle, supple, susceptible, tactful,
tactical, talented, teachable, the compleat, the complete,
thirsty for knowledge, trainable, trickish, tricksy, tricky,
versatile, virtuoso, vulpine, wary, well-considered,
well-contrived, well-designed, well-done, well-invented, well-laid,
well-planned, well-reasoned, well-thought-out, well-weighed,
whimsical, wicked, willing, wily, wise, witty, workmanlike

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英文字典中文字典相關資料:
  • Evaluating the Robustness of Neural Networks: An Extreme Value. . .
    Experimental results on various networks, including ResNet, Inception-v3 and MobileNet, show that (i) CLEVER is aligned with the robustness indication measured by the $\ell_2$ and $\ell_\infty$ norms of adversarial examples from powerful attacks, and (ii) defended networks using defensive distillation or bounded ReLU indeed give better CLEVER
  • Counterfactual Debiasing for Fact Verification - OpenReview
    016 namely CLEVER, which is augmentation-free 017 and mitigates biases on the inference stage 018 Specifically, we train a claim-evidence fusion 019 model and a claim-only model independently 020 Then, we obtain the final prediction via sub-021 tracting output of the claim-only model from 022 output of the claim-evidence fusion model,
  • Leaving the barn door open for Clever Hans: Simple features predict. . .
    This phenomenon, widely known in human and animal experiments, is often referred to as the ‘Clever Hans’ effect, where tasks are solved using spurious cues, often involving much simpler processes than those putatively assessed Previous research suggests that language models can exhibit this behaviour as well
  • On the Planning Abilities of Large Language Models : A Critical . . .
    their Clever Hans effect [1] with the actual planning being done by the humans in the loop rather than the LLMs themselves We thus separate our evaluation into two modes–autonomous and as assistants to external planners reasoners There have also been efforts which mostly depended on
  • Learnable Representative Coefficient Image Denoiser for. . .
    Recently, HSI denoising models based on representative coefficient images (RCIs) under the spectral low-rank decomposition framework have garnered significant attention due to their clever utilization of spatial-spectral information in HSI at a low cost
  • TRANSFORMERS CAN NAVIGATE MAZES WITH MULTI-STEP PREDICTION - OpenReview
    the work identifies a Clever-Hans cheat based on shortcuts in teacher forced training similar to theo-retical shortcomings identified in Wang et al (2024b) This demonstrates that while transformers can represent world states for mazes, they may struggle in planning that requires significant foresight A
  • Right on Time: Revising Time Series Models by Constraining their . . .
    To avoid “Clever-Hans” moments in time series, i e , to mitigate confounders, we introduce the method Right on Time (RioT) RioT enables, for the first time interactions with model explanations across both the time and frequency domain
  • LENFusion: A Joint Low-Light Enhancement and Fusion Network for. . .
    The enhancement is performed in two stages In the initial stage, LAN applies adaptive luminance adjustment to the original visible image Subsequently, RFN achieves secondary enhancement and feature fusion with a clever combination of dual-attention mechanism, which motivates the fusion results to have high contrast and sharpness
  • From Control Application to Control Logic: PLC Decompile Framework. . .
    Then, to normalize the control application decompile process, an intermediate representation (IR) is designed, which can simplify the analysis process and enhance the extensibility of CLEVER Finally, a heuristic data flow analysis algorithm is proposed to find variable dependency, and a sequential parsing method is utilized to reconstruct the





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